Estimating organic, local, and other price premiums in the Hawaii fluid milk market.

Science.gov (United States)

Loke, Matthew K; Xu, Xun; Leung, PingSun

2015-04-01

With retail scanner data, we applied hedonic price modeling to explore price premiums for organic, local, and other product attributes of fluid milk in Hawaii. Within the context of revealed preference, this analysis of organic and local attributes, under a single unified framework, is significant, as research in this area is deficient in the existing literature. This paper finds both organic and local attributes delivered price premiums over imported, conventional, whole fluid milk. However, the estimated price premium for organic milk (24.6%) is significantly lower than findings in the existing literature. Likewise, the price premium for the local attribute is estimated at 17.4%, again substantially lower compared with an earlier, stated preference study in Hawaii. Beyond that, we estimated a robust price premium of 19.7% for nutritional benefits claimed. The magnitude of this estimated coefficient reinforces the notion that nutrition information on food is deemed beneficial and valuable. Finally, package size measures the influence of product weight. With each larger package size, the estimate led to a corresponding larger price discount. This result is consistent with the practice of weight discounting that retailers usually offer with fresh packaged food. Additionally, we estimated a fairly high Armington elasticity of substitution, which suggests a relatively high degree of substitution between local and imported fluid milk when their relative price changes. Overall, this study establishes price premiums for organic, local, and nutrition benefits claimed for fluid milk in Hawaii. Copyright © 2015 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

ISSUES ON USING PRICE INDICES FOR ESTIMATING GDP AND ITS COMPONENTS AT CONSTANT PRICES ACCORDING TO SNA METHODOLOGY

Directory of Open Access Journals (Sweden)

K. Prykhodko

2014-06-01

Full Text Available The article examines requirements and methodological approaches to the calculation of price indices (deflators in the national accounts. It gives estimation for the level and dynamics of price indicators. It proposes on improving the calculation of price indices (deflators in the national accounts of Ukraine.

Estimating household fuel oil/kerosine, natural gas, and LPG prices by census region

International Nuclear Information System (INIS)

Poyer, D.A.; Teotia, A.P.S.

1994-08-01

The purpose of this research is to estimate individual fuel prices within the residential sector. The data from four US Department of Energy, Energy Information Administration, residential energy consumption surveys were used to estimate the models. For a number of important fuel types - fuel oil, natural gas, and liquefied petroleum gas - the estimation presents a problem because these fuels are not used by all households. Estimates obtained by using only data in which observed fuel prices are present would be biased. A correction for this self-selection bias is needed for estimating prices of these fuels. A literature search identified no past studies on application of the selectivity model for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas. This report describes selectivity models that utilize the Dubin/McFadden correction method for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas in the Northeast, Midwest, South, and West census regions. Statistically significant explanatory variables are identified and discussed in each of the models. This new application of the selectivity model should be of interest to energy policy makers, researchers, and academicians

Estimating the price elasticity of expenditure for prescription drugs in the presence of non-linear price schedules: an illustration from Quebec, Canada.

Science.gov (United States)

Contoyannis, Paul; Hurley, Jeremiah; Grootendorst, Paul; Jeon, Sung-Hee; Tamblyn, Robyn

2005-09-01

The price elasticity of demand for prescription drugs is a crucial parameter of interest in designing pharmaceutical benefit plans. Estimating the elasticity using micro-data, however, is challenging because insurance coverage that includes deductibles, co-insurance provisions and maximum expenditure limits create a non-linear price schedule, making price endogenous (a function of drug consumption). In this paper we exploit an exogenous change in cost-sharing within the Quebec (Canada) public Pharmacare program to estimate the price elasticity of expenditure for drugs using IV methods. This approach corrects for the endogeneity of price and incorporates the concept of a 'rational' consumer who factors into consumption decisions the price they expect to face at the margin given their expected needs. The IV method is adapted from an approach developed in the public finance literature used to estimate income responses to changes in tax schedules. The instrument is based on the price an individual would face under the new cost-sharing policy if their consumption remained at the pre-policy level. Our preferred specification leads to expenditure elasticities that are in the low range of previous estimates (between -0.12 and -0.16). Naïve OLS estimates are between 1 and 4 times these magnitudes. (c) 2005 John Wiley & Sons, Ltd.

Developing a module for estimating climate warming effects on hydropower pricing in California

International Nuclear Information System (INIS)

Guégan, Marion; Uvo, Cintia B.; Madani, Kaveh

2012-01-01

Climate warming is expected to alter hydropower generation in California through affecting the annual stream-flow regimes and reducing snowpack. On the other hand, increased temperatures are expected to increase hydropower demand for cooling in warm periods while decreasing demand for heating in winter, subsequently altering the annual hydropower pricing patterns. The resulting variations in hydropower supply and pricing regimes necessitate changes in reservoir operations to minimize the revenue losses from climate warming. Previous studies in California have only explored the effects of hydrological changes on hydropower generation and revenues. This study builds a long-term hydropower pricing estimation tool, based on artificial neural network (ANN), to develop pricing scenarios under different climate warming scenarios. Results suggest higher average hydropower prices under climate warming scenarios than under historical climate. The developed tool is integrated with California's Energy-Based Hydropower Optimization Model (EBHOM) to facilitate simultaneous consideration of climate warming on hydropower supply, demand and pricing. EBHOM estimates an additional 5% drop in annual revenues under a dry warming scenario when climate change impacts on pricing are considered, with respect to when such effects are ignored, underlining the importance of considering changes in hydropower demand and pricing in future studies and policy making. - Highlights: ► Addressing the major gap in previous climate change and hydropower studies in California. ► Developing an ANN-based long-term hydropower price estimation tool. ► Estimating climate change effects on hydropower demand and pricing in California. ► Investigating the sensitivity of hydropower operations to future price changes. ► Underlining the importance of consideration of climate change impacts on electricity pricing.

Estimating the Exchange Rate Pass-Through to Prices in Mexico

OpenAIRE

Josué Fernando Cortés Espada

2013-01-01

This paper estimates the magnitude of the exchange rate pass-through to consumer prices in Mexico. Moreover, it analyzes if the pass-through dynamics have changed in recent years. In particular, it uses a methodology that generates results consistent with the hierarchy implicit in the cpi. The results suggest that the exchange rate pass-through to the general price level is low and not statistically significant. However, the pass-through is positive and significant for goods prices. Furthermo...

Option-Based Estimation of the Price of Co-Skewness and Co-Kurtosis Risk

DEFF Research Database (Denmark)

Christoffersen, Peter; Fournier, Mathieu; Fournier, Mathieu

-neutral second moments, and the price of co-kurtosis risk corresponds to the spread between the physical and the risk-neutral third moments. The option-based estimates of the prices of risk lead to reasonable values of the associated risk premia. An out-of-sample analysis of factor models with co-skewness and co......We show that the prices of risk for factors that are nonlinear in the market return are readily obtained using index option prices. We apply this insight to the price of co-skewness and co-kurtosis risk. The price of co-skewness risk corresponds to the spread between the physical and the risk......-kurtosis risk indicates that the new estimates of the price of risk improve the models performance. Models with higher-order market moments also robustly outperform standard competitors such as the CAPM and the Fama-French model....

Option-Based Estimation of the Price of Co-Skewness and Co-Kurtosis Risk

DEFF Research Database (Denmark)

Christoffersen, Peter; Fournier, Mathieu; Jacobs, Kris

-neutral second moments, and the price of co-kurtosis risk corresponds to the spread between the physical and the risk-neutral third moments. The option-based estimates of the prices of risk lead to reasonable values of the associated risk premia. An out-of-sample analysis of factor models with co-skewness and co......We show that the prices of risk for factors that are nonlinear in the market return are readily obtained using index option prices. We apply this insight to the price of co-skewness and co-kurtosis risk. The price of co-skewness risk corresponds to the spread between the physical and the risk......-kurtosis risk indicates that the new estimates of the price of risk improve the models' performance. Models with higher-order market moments also robustly outperform standard competitors such as the CAPM and the Fama-French model....

List prices vs. bargain prices: which solution to estimate consumer price indices?

OpenAIRE

Carlo De Gregorio

2010-01-01

Alternative approaches to CPI surveys are here evaluated, in markets where final prices are based on some sort of price listing. Three types of surveys are compared: local surveys (LOC), with small samples and a local price collection; list price surveys (LIS), with huge samples and centralised collection; mixed surveys (MXD), in which LOC and LIS are jointly used. Based on a multiplicative pricing model, some conditions are derived to establish the relative efficiency of these approaches. Th...

Guidelines for estimating nuclear power plant decommissioning costs

International Nuclear Information System (INIS)

LaGuardia, T.S.; Williams, D.H.

1989-01-01

The objectives of the study were: (1) To develop guidelines to facilitate estimating the cost of nuclear power plant decommissioning alternatives on a plant-specific basis and to facilitate comparing estimates made by others. The guidelines are expressed in a form that could be readily adapted by technical specialists from individual utilities or by other uses. (2) To enhance the industry's credibility with decision-makes at the state and federal levels during rate/regulatory processes involving decommissioning costs. This is accomplished by providing a detailed, systematic breakdown of how decommissioning cost estimates are prepared. (3) To increase the validity, realism, and accuracy of site-specific decommissioning cost estimates. This is accomplished by pulling together the experiences and practices of several nuclear utilities and consultants in conducting past decommissioning cost estimates

Censored Quantile Instrumental Variable Estimates of the Price Elasticity of Expenditure on Medical Care.

Science.gov (United States)

Kowalski, Amanda

2016-01-02

Efforts to control medical care costs depend critically on how individuals respond to prices. I estimate the price elasticity of expenditure on medical care using a censored quantile instrumental variable (CQIV) estimator. CQIV allows estimates to vary across the conditional expenditure distribution, relaxes traditional censored model assumptions, and addresses endogeneity with an instrumental variable. My instrumental variable strategy uses a family member's injury to induce variation in an individual's own price. Across the conditional deciles of the expenditure distribution, I find elasticities that vary from -0.76 to -1.49, which are an order of magnitude larger than previous estimates.

HMM filtering and parameter estimation of an electricity spot price model

International Nuclear Information System (INIS)

Erlwein, Christina; Benth, Fred Espen; Mamon, Rogemar

2010-01-01

In this paper we develop a model for electricity spot price dynamics. The spot price is assumed to follow an exponential Ornstein-Uhlenbeck (OU) process with an added compound Poisson process. In this way, the model allows for mean-reversion and possible jumps. All parameters are modulated by a hidden Markov chain in discrete time. They are able to switch between different economic regimes representing the interaction of various factors. Through the application of reference probability technique, adaptive filters are derived, which in turn, provide optimal estimates for the state of the Markov chain and related quantities of the observation process. The EM algorithm is applied to find optimal estimates of the model parameters in terms of the recursive filters. We implement this self-calibrating model on a deseasonalised series of daily spot electricity prices from the Nordic exchange Nord Pool. On the basis of one-step ahead forecasts, we found that the model is able to capture the empirical characteristics of Nord Pool spot prices. (author)

The estimation of time-varying risks in asset pricing modelling using B-Spline method

Science.gov (United States)

Nurjannah; Solimun; Rinaldo, Adji

2017-12-01

Asset pricing modelling has been extensively studied in the past few decades to explore the risk-return relationship. The asset pricing literature typically assumed a static risk-return relationship. However, several studies found few anomalies in the asset pricing modelling which captured the presence of the risk instability. The dynamic model is proposed to offer a better model. The main problem highlighted in the dynamic model literature is that the set of conditioning information is unobservable and therefore some assumptions have to be made. Hence, the estimation requires additional assumptions about the dynamics of risk. To overcome this problem, the nonparametric estimators can also be used as an alternative for estimating risk. The flexibility of the nonparametric setting avoids the problem of misspecification derived from selecting a functional form. This paper investigates the estimation of time-varying asset pricing model using B-Spline, as one of nonparametric approach. The advantages of spline method is its computational speed and simplicity, as well as the clarity of controlling curvature directly. The three popular asset pricing models will be investigated namely CAPM (Capital Asset Pricing Model), Fama-French 3-factors model and Carhart 4-factors model. The results suggest that the estimated risks are time-varying and not stable overtime which confirms the risk instability anomaly. The results is more pronounced in Carhart’s 4-factors model.

Estimated generic prices of cancer medicines deemed cost-ineffective in England: a cost estimation analysis.

Science.gov (United States)

Hill, Andrew; Redd, Christopher; Gotham, Dzintars; Erbacher, Isabelle; Meldrum, Jonathan; Harada, Ryo

2017-01-20

The aim of this study was to estimate lowest possible treatment costs for four novel cancer drugs, hypothesising that generic manufacturing could significantly reduce treatment costs. This research was carried out in a non-clinical research setting using secondary data. There were no human participants in the study. Four drugs were selected for the study: bortezomib, dasatinib, everolimus and gefitinib. These medications were selected according to their clinical importance, novel pharmaceutical actions and the availability of generic price data. Target costs for treatment were to be generated for each indication for each treatment. The primary outcome measure was the target cost according to a production cost calculation algorithm. The secondary outcome measure was the target cost as the lowest available generic price; this was necessary where export data were not available to generate an estimate from our cost calculation algorithm. Other outcomes included patent expiry dates and total eligible treatment populations. Target prices were £411 per cycle for bortezomib, £9 per month for dasatinib, £852 per month for everolimus and £10 per month for gefitinib. Compared with current list prices in England, these target prices would represent reductions of 74-99.6%. Patent expiry dates were bortezomib 2014-22, dasatinib 2020-26, everolimus 2019-25 and gefitinib 2017. The total global eligible treatment population in 1 year is 769 736. Our findings demonstrate that affordable drug treatment costs are possible for novel cancer drugs, suggesting that new therapeutic options can be made available to patients and doctors worldwide. Assessing treatment cost estimations alongside cost-effectiveness evaluations is an important area of future research. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Price elasticity estimates for tobacco products in India.

Science.gov (United States)

John, Rijo M

2008-05-01

The tax base of tobacco in India is heavily dependent on about 14% of tobacco users, who smoke cigarettes. Non-cigarette tobacco products accounting for 85% of the tobacco consumption contributes only 15% of the total tobacco taxes. Though taxation is an important tool to regulate consumption of tobacco, there have been no estimates of price elasticities for different tobacco products in India to date, which can guide tax policy on tobacco. This paper, for the first time in India, examines the price elasticity of demand for bidis, cigarettes and leaf tobacco at the national level using a representative cross-section of households. This study found that own-price elasticity estimates of different tobacco products in India ranged between -0.4 to -0.9, with bidis (an indigenous hand-rolled smoked tobacco preparation in India) and leaf tobacco having elasticities close to unity. Cigarettes were the least price elastic of all. With some assumptions, it is shown that the tax on bidis can be increased to Rs. 100 per 1000 sticks compared with the current Rs. 14 and the tax on an average cigarette can be increased to Rs. 3.5 per stick without any fear of losing revenue. The paper argues that the current system of taxing cigarettes in India based on the presence of filters and the length of cigarettes has no justification on health grounds, and should be abolished, if reducing tobacco consumption and the consequent disease burden is one of the objectives of tobacco taxation policy. It also argues that attempts to regulate tobacco use without effecting significant tax increases on bidis may not produce desired results.

Estimating Structural Models of Corporate Bond Prices in Indonesian Corporations

Directory of Open Access Journals (Sweden)

Lenny Suardi

2014-08-01

Full Text Available This  paper  applies  the  maximum  likelihood  (ML  approaches  to  implementing  the structural  model  of  corporate  bond,  as  suggested  by  Li  and  Wong  (2008,  in  Indonesian corporations.  Two  structural  models,  extended  Merton  and  Longstaff  &  Schwartz  (LS models,  are  used  in  determining  these  prices,  yields,  yield  spreads  and  probabilities  of default. ML estimation is used to determine the volatility of irm value. Since irm value is unobserved variable, Duan (1994 suggested that the irst step of ML estimation is to derive the likelihood function for equity as the option on the irm value. The second step is to ind parameters such as the drift and volatility of irm value, that maximizing this function. The irm value itself is extracted by equating the pricing formula to the observed equity prices. Equity,  total  liabilities,  bond  prices  data  and  the  irm's  parameters  (irm  value,  volatility of irm value, and default barrier are substituted to extended Merton and LS bond pricing formula in order to valuate the corporate bond.These models are implemented to a sample of 24 bond prices in Indonesian corporation during  period  of  2001-2005,  based  on  criteria  of  Eom,  Helwege  and  Huang  (2004.  The equity  and  bond  prices  data  were  obtained  from  Indonesia  Stock  Exchange  for  irms  that issued equity and provided regular inancial statement within this period. The result shows that both models, in average, underestimate the bond prices and overestimate the yields and yield spread. ";} // -->activate javascript

Estimating the Efficiency and Impacts of Petroleum Product Pricing Reforms in China

Directory of Open Access Journals (Sweden)

Chuxiong Deng

2018-04-01

Full Text Available The efficiency and effects analysis of a new pricing mechanism would have significant policy implications for the further design of a pricing mechanism in an emerging market. Unlike most of the existing literature, which focuses on the impacts to the macro-economy, this paper firstly uses an econometrics model to discuss the efficiency of the new pricing mechanism, and then establishes an augmented Phillips curve to estimate the impact of pricing reform on inflation in China. The results show that: (1 the new pricing mechanism would strengthen the linkage between Chinese oil prices and international oil prices; (2 oil price adjustments are still inadequate in China. (3 The lag in inflation is the most important factor that affects inflation, while the impact of the Chinese government’s price adjustments on inflation is limited and insignificant. In order to improve the efficiency of the petroleum products pricing mechanism and shorten lags, government should shorten the adjustment period and diminish the fluctuation threshold.

Ex-vessel Fish Price Database: Disaggregating Prices for Low-Priced Species from Reduction Fisheries

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Travis C. Tai

2017-11-01

Full Text Available Ex-vessel fish prices are essential for comprehensive fisheries management and socioeconomic analyses for fisheries science. In this paper, we reconstructed a global ex-vessel price database with the following areas of improvement: (1 compiling reported prices explicitly listed as “for reduction to fishmeal and fish oil” to estimate prices separately for catches destined for fishmeal and fish oil production, and other non-direct human consumption purposes; (2 including 95% confidence limit estimates for each price estimation; and (3 increasing the number of input data and the number of price estimates to match the reconstructed Sea Around Us catch database. Our primary focus was to address this first area of improvement as ex-vessel prices for catches destined for non-direct human consumption purposes were substantially overestimated, notably in countries with large reduction fisheries. For example in Peru, 2010 landed values were estimated as 3.8 billion real 2010 USD when using separate prices for reduction fisheries, compared with 5.8 billion using previous methods with only one price for all end-products. This update of the price database has significant global and country-specific impacts on fisheries price and landed value trends over time.

Premium Pricing In Health Insurance By Nelson- Aalen Estimator

OpenAIRE

Istikaanah, Najmah

2011-01-01

In this paper the using of Nelson Aalen estimators are presented to estimate transition probabilities of multistate model. Based on discrete time Markov, we will get transition matrices?é?á which the elements are transition probabilities from Nelson Aalen estimator. Because of the data that used in the construction of transition matrices are person?óÔé¼Ôäós health histories, then it can be seen as a morbidity value, which can be used to premium pricing.?é?á

Estimating the Break-Even Price for Forest Protection in Central Kalimantan

OpenAIRE

Yamamoto, Yuki; Takeuchi, Kenji

2011-01-01

This paper estimates the break-even price in Central Kalimantan province, Indonesia and evaluates the effectiveness of a REDD+ mechanism in this area. On the basis of data collected through a field survey, we found that the break-even price is $17.14 per ton of carbon or $4.68 per ton of carbon dioxide. The figure can be even lower when we take the peat thickness of the area into account. Our analysis shows that the current level of carbon price can provide adequate compensation for Indonesia...

Cost-estimate guidelines for advanced nuclear power technologies

International Nuclear Information System (INIS)

Delene, J.G.; Hudson, C.R.

1993-01-01

Various advanced power plant concepts are currently under development. These include several advanced light water reactors as well as the modular high-temperature gas-cooled reactor and the advanced liquid-metal reactor. One measure-of the attractiveness of a new concept is cost. Invariably, the cost of a new type of power plant will be compared with other alternative forms of electric generation. In order to make reasonable comparative assessments of competing technologies, consistent ground rules and assumptions must be applied when developing cost estimates. This paper describes the cost-estimate guidelines developed by Oak Ridge National Laboratory for the U.S. Department of Energy (DOE) to be used in developing cost estimates for the advanced nuclear reactors and how these guidelines relate to the DOE cost verification process

Estimation of economic consequences of GOLD guidelines adoption in the Italian clinical practice

Directory of Open Access Journals (Sweden)

Orietta Zaniolo

2011-03-01

based on observational data. Costs of health care resources are calculated based on published micro-costing analysis and current prices and tariffs.Results: the model estimates an adjunctive cost of about 19 million of Euros with the GOLD GL strategy, just for the the spirometry-based restaging of about 40% of the over 1 million and 250 thousand prevalent Italian COPD patients. Furthermore, in the first year of the analysis, the redefinition of the best clinical management strategy for all patients would cost about 100 million Euros, which are to be added to the more than 320 million Euros associated with adaptation of the GOLD stage specific pharmacological therapy, consisting mainly in a higher usage of long-acting beta agonist/corticosteroid combinations, only partially offset by the lower prescription of corticosteroid alone. Based on Italian observational data, the consumption of other health care resources with the GOLD GL strategy is reduced by about 44%, reflected in an estimated cost saving of more than 850 millions of Euros. For the first analysis year, the net cost saving associated with full GOLD guideline adoption is estimated equal to 410 millions of Euros; this value decreases by 11% and 21% respectively in the second and third years.Conclusion: our model estimates that the adoption of GOLD guidelines in the Italian clinical practice is associated to an average cost saving of about 300 Euros per patient/year.

An estimation of the exchange rate pass-through to prices in Mexico

OpenAIRE

Josué Fernando Cortés Espada

2013-01-01

This paper estimates the magnitude of the exchange rate pass-through to consumer prices in Mexico. Moreover, it analyzes if the pass-through dynamics have changed in recent years. In particular, it uses a methodology that generates results consistent with the hierarchy implicit in the CPI. The results suggest that the exchange rate pass-through to the general price level is low and not statistically significant. However, the pass-through is positive and significant for goods prices. Furthermo...

Use of Bayesian Estimates to determine the Volatility Parameter Input in the Black-Scholes and Binomial Option Pricing Models

Directory of Open Access Journals (Sweden)

Shu Wing Ho

2011-12-01

Full Text Available The valuation of options and many other derivative instruments requires an estimation of exante or forward looking volatility. This paper adopts a Bayesian approach to estimate stock price volatility. We find evidence that overall Bayesian volatility estimates more closely approximate the implied volatility of stocks derived from traded call and put options prices compared to historical volatility estimates sourced from IVolatility.com (“IVolatility”. Our evidence suggests use of the Bayesian approach to estimate volatility can provide a more accurate measure of ex-ante stock price volatility and will be useful in the pricing of derivative securities where the implied stock price volatility cannot be observed.

Guideline to Estimate Decommissioning Costs

Energy Technology Data Exchange (ETDEWEB)

Yun, Taesik; Kim, Younggook; Oh, Jaeyoung [KHNP CRI, Daejeon (Korea, Republic of)

2016-10-15

The primary objective of this work is to provide guidelines to estimate the decommissioning cost as well as the stakeholders with plausible information to understand the decommissioning activities in a reasonable manner, which eventually contribute to acquiring the public acceptance for the nuclear power industry. Although several cases of the decommissioning cost estimate have been made for a few commercial nuclear power plants, the different technical, site-specific and economic assumptions used make it difficult to interpret those cost estimates and compare them with that of a relevant plant. Trustworthy cost estimates are crucial to plan a safe and economic decommissioning project. The typical approach is to break down the decommissioning project into a series of discrete and measurable work activities. Although plant specific differences derived from the economic and technical assumptions make a licensee difficult to estimate reliable decommissioning costs, estimating decommissioning costs is the most crucial processes since it encompasses all the spectrum of activities from the planning to the final evaluation on whether a decommissioning project has successfully been preceded from the perspective of safety and economic points. Hence, it is clear that tenacious efforts should be needed to successfully perform the decommissioning project.

Estimation of a hedonic pricing model for Medigap insurance.

Science.gov (United States)

Robst, John

2006-12-01

This paper uses a unique database to examine premiums paid by beneficiaries for Medigap supplemental coverage. Average premiums charged by insurers are reported, as well as premiums by enrollee age and gender, and additional policy characteristics. Marginal prices for Medigap benefits are estimated using hedonic price regressions. In addition, the paper considers how additional policy characteristics and geographic differences in the use and cost of medical care affect premiums. A comprehensive database on premiums paid by beneficiaries for newly issued Medigap policies in the year 2000 along with state-level characteristics. Hedonic pricing equations are used to estimate implicit prices for Medigap benefits. The Centers for Medicare & Medicaid Services contracted for the creation of a detailed database on Medigap premiums. Data were collected in three stages. First, letters were sent directly to insurers requesting premium data. Second, letters were directly to state insurance commissioner's offices requesting premium data. Last, each state insurance commissioner's office was visited to collect missing data. With the exceptions of the part B deductible and drug benefit, Medigap supplemental insurance is priced consistent with the actuarial value of benefits offered under the standardized plans. Premiums vary substantially based on rating method, whether the policy is guaranteed issue, Medigap Select, or explicitly for smokers. Premiums increase with enrollee age, but do not vary between men and women. The relationship between premiums and enrollee age varies across rating methods. Attained-age policies show the strongest relationship between age and premiums, while community-rated premiums, by definition, do not vary with age. Medigap supplemental insurance premiums are higher in states with poorer health, greater utilization, and greater managed care penetration. Despite the high cost, Medigap plans are generally priced in accordance with the actuarial value of

Estimation of a Hedonic Pricing Model for Medigap Insurance

Science.gov (United States)

Robst, John

2006-01-01

Objective This paper uses a unique database to examine premiums paid by beneficiaries for Medigap supplemental coverage. Average premiums charged by insurers are reported, as well as premiums by enrollee age and gender, and additional policy characteristics. Marginal prices for Medigap benefits are estimated using hedonic price regressions. In addition, the paper considers how additional policy characteristics and geographic differences in the use and cost of medical care affect premiums. Data Sources/Study Setting A comprehensive database on premiums paid by beneficiaries for newly issued Medigap policies in the year 2000 along with state-level characteristics. Study Design Hedonic pricing equations are used to estimate implicit prices for Medigap benefits. Data Collection/Extraction Methods The Centers for Medicare & Medicaid Services contracted for the creation of a detailed database on Medigap premiums. Data were collected in three stages. First, letters were sent directly to insurers requesting premium data. Second, letters were directly to state insurance commissioner's offices requesting premium data. Last, each state insurance commissioner's office was visited to collect missing data. Principal Findings With the exceptions of the part B deductible and drug benefit, Medigap supplemental insurance is priced consistent with the actuarial value of benefits offered under the standardized plans. Premiums vary substantially based on rating method, whether the policy is guaranteed issue, Medigap Select, or explicitly for smokers. Premiums increase with enrollee age, but do not vary between men and women. The relationship between premiums and enrollee age varies across rating methods. Attained-age policies show the strongest relationship between age and premiums, while community-rated premiums, by definition, do not vary with age. Medigap supplemental insurance premiums are higher in states with poorer health, greater utilization, and greater managed care

Competitive Pricing by a Price Leader

OpenAIRE

Abhik Roy; Dominique M. Hanssens; Jagmohan S. Raju

1994-01-01

We examine the problem of pricing in a market where one brand acts as a price leader. We develop a procedure to estimate a leader's price rule, which is optimal given a sales target objective, and allows for the inclusion of demand forecasts. We illustrate our estimation procedure by calibrating this optimal price rule for both the leader and the follower using data on past sales and prices from the mid-size sedan segment of the U.S. automobile market. Our results suggest that a leader-follow...

The Welfare Effects of Price Advertising with Basket Shopping: Structural Estimates from Supermarket Promotions

DEFF Research Database (Denmark)

Gao, Cixiu

2015-01-01

This paper empirically examines welfare effects of the informative price advertising in the supermarket retail industry, using structural estimation approaches and individual scanner data. Supermarket retailers use promotions (advertised price cuts) to announce sales as a competing instrument...... promotion intensities are socially excessive. Moreover, the welfare implications are determined by the two opposite effects of price advertising: (1) the informing and therefore welfare-improving effect, and (2) the welfare-harming effect that higher transportation costs incur when promotions are used....... Using a spatial model that accounts for consumer shopping behavior and retailer pricing behavior, I structurally estimate consumer demand and the marginal costs of promotion, following the discrete choice literature and moment inequality approach. The simulation results numerically show that the private...

Guideline for Bayesian Net based Software Fault Estimation Method for Reactor Protection System

International Nuclear Information System (INIS)

Eom, Heung Seop; Park, Gee Yong; Jang, Seung Cheol

2011-01-01

The purpose of this paper is to provide a preliminary guideline for the estimation of software faults in a safety-critical software, for example, reactor protection system's software. As the fault estimation method is based on Bayesian Net which intensively uses subjective probability and informal data, it is necessary to define formal procedure of the method to minimize the variability of the results. The guideline describes assumptions, limitations and uncertainties, and the product of the fault estimation method. The procedure for conducting a software fault-estimation method is then outlined, highlighting the major tasks involved. The contents of the guideline are based on our own experience and a review of research guidelines developed for a PSA

Option Price Estimations and Speculative Trading In Knowledge Society

Directory of Open Access Journals (Sweden)

Ovidiu TURCOANE

2012-01-01

Full Text Available Derivatives market has known an enormous and continuous development from the late 1970s, thanks to the most celebrated Black-Scholes-Merton formula. The impact on global economy is also tremendous, but due to the high leverage of speculative option trading there is a perpetual danger of economic collapse. This paper gives a short description of knowledge society and proposes methods for option price estimation based on implied volatility, skewness and kurtosis. ‘Free-lunch’ is hardly achievable if one predicts the option price using the knowledgeable information from the market and there is almost impossible to speculate, rather than to hedge, when trading option.

Estimating oil price 'Value at Risk' using the historical simulation approach

International Nuclear Information System (INIS)

David Cabedo, J.; Moya, Ismael

2003-01-01

In this paper we propose using Value at Risk (VaR) for oil price risk quantification. VaR provides an estimation for the maximum oil price change associated with a likelihood level, and can be used for designing risk management strategies. We analyse three VaR calculation methods: the historical simulation standard approach, the historical simulation with ARMA forecasts (HSAF) approach, developed in this paper, and the variance-covariance method based on autoregressive conditional heteroskedasticity models forecasts. The results obtained indicate that HSAF methodology provides a flexible VaR quantification, which fits the continuous oil price movements well and provides an efficient risk quantification

Estimating oil price 'Value at Risk' using the historical simulation approach

International Nuclear Information System (INIS)

Cabedo, J.D.; Moya, I.

2003-01-01

In this paper we propose using Value at Risk (VaR) for oil price risk quantification. VaR provides an estimation for the maximum oil price change associated with a likelihood level, and can be used for designing risk management strategies. We analyse three VaR calculation methods: the historical simulation standard approach, the historical simulation with ARMA forecasts (HSAF) approach. developed in this paper, and the variance-covariance method based on autoregressive conditional heteroskedasticity models forecasts. The results obtained indicate that HSAF methodology provides a flexible VaR quantification, which fits the continuous oil price movements well and provides an efficient risk quantification. (author)

Price elasticity of demand for crude oil: estimates for 23 countries

International Nuclear Information System (INIS)

Cooper, J.C.B.

2003-01-01

This paper uses a multiple regression model derived from an adaptation of Nerlove's partial adjustment model to estimate both the short-run and long-run elasticities of demand for crude oil in 23 countries. The estimates so obtained confirm that the demand for crude oil internationally is highly insensitive to changes in price. (author)

A Generalized Schwartz Model for Energy Spot Prices - Estimation using a Particle MCMC Method

DEFF Research Database (Denmark)

Lunde, Asger; Brix, Anne Floor; Wei, Wei

structure. Instead of using various filtering techniques for splitting the two factors, as often found in the literature, we estimate the model in one step using an adaptive MCMC method with a Rao-Blackwellized particle filter. We fit the model to UK natural gas spot prices and investigate the importance......We propose an energy spot price model featuring a two-factor price process and a two-component stochastic volatility process. The first factor in the price process captures the normal variations; the second accounts for spikes. The two-component volatility allows for a flexible autocorrelation...... of spikes and stochastic volatility. We find that the inclusion of stochastic volatility is crucial and that it strongly impacts the jump intensity in the spike process. Furthermore, our estimation method enables us to consider both continuous and purely jump-driven volatility processes, and thereby assess...

A model to Estimate the Implicit Values of Housing Attributes by Applying the Hedonic Pricing Method

Directory of Open Access Journals (Sweden)

TD Randeniya

2017-05-01

Full Text Available Many scholars focused on the location based attributes rather than the non-location factors in decision making on land prices. Further, new research studies have identified the importance of the non-location attributes with the location factors. Many studies suggest that, many attributes exist which affects the housing price. Since the attributes involved and dominant for a particular case differs from one situation to the other, there cannot be an exact list of attributes. Yet, identification of factors that determine housing price and their relationships and the level of influence have poorly understood in planning and property development in the context of Sri Lanka. This study attempts to address what make householders to decide on housing price and application of hedonic pricing approach to estimate the implicit price of housing attributes in context of Sri Lanka. A sample study of selected fifty (50 single house transactions in Maharagama urban neighborhood area has been utilized to illustrate the applicability of the hedonic pricing model. As a methodology, correlation analysis has been carried out to study the degree of relationship between the housing price and the independent variables. The attributes which correlate with housing prices, the study identified the most significant attributes. A model was developed to estimate the future house price by applying the pricing model which is incorporated with these attributes. A hedonic house price model derived from multiple liner regression analysis was developed for the purpose. The findings reveal that six attributes as design type of the house, distance to the local road, quality of Infrastructure, garden size, number of the bed rooms and property age are contributed to estimate the implicit value of Housing property. The model developed would be used to identify implicit values of houses located in urban neighborhood area of Sri Lanka.

Estimation of Gasoline Price Elasticities of Demand for Automobile Fuel Efficiency in Korea: A Hedonic Approach

Energy Technology Data Exchange (ETDEWEB)

Lee, Sung Tae [Sungkyunkwan University, Seoul (Korea); Lee, Myunghun [Keimyung University, Taegu (Korea)

2001-03-01

This paper estimates the gasoline price elasticities of demand for automobile fuel efficiency in Korea to examine indirectly whether the government policy of raising fuel prices is effective in inducing less consumption of fuel, relying on a hedonic technique developed by Atkinson and Halvorsen (1984). One of the advantages of this technique is that the data for a single year, without involving variation in the price of gasoline, is sufficient in implementing this study. Moreover, this technique enables us to circumvent the multicollinearity problem, which had reduced reliability of the results in previous hedonic studies. The estimated elasticities of demand for fuel efficiency with respect to the price of gasoline, on average, is 0.42. (author). 30 refs., 3 tabs.

A pharmacoeconomic modeling approach to estimate a value-based price for new oncology drugs in Europe.

Science.gov (United States)

Dranitsaris, George; Ortega, Ana; Lubbe, Martie S; Truter, Ilse

2012-03-01

Several European governments have recently mandated price cuts in drugs to reduce health care spending. However, such measures without supportive evidence may compromise patient care because manufacturers may withdraw current products or not launch new agents. A value-based pricing scheme may be a better approach for determining a fair drug price and may be a medium for negotiations between the key stakeholders. To demonstrate this approach, pharmacoeconomic (PE) modeling was used from the Spanish health care system perspective to estimate a value-based price for bevacizumab, a drug that provides a 1.4-month survival benefit to patients with metastatic colorectal cancer (mCRC). The threshold used for economic value was three times the Spanish per capita GDP, as recommended by the World Health Organization (WHO). A PE model was developed to simulate outcomes in mCRC patients receiving chemotherapy ± bevacizumab. Clinical data were obtained from randomized trials and costs from a Spanish hospital. Utility estimates were determined by interviewing 24 Spanish oncology nurses and pharmacists. A price per dose of bevacizumab was then estimated using a target threshold of € 78,300 per quality-adjusted life year gained, which is three times the Spanish per capita GDP. For a 1.4-month survival benefit, a price of € 342 per dose would be considered cost effective from the Spanish public health care perspective. The price may be increased to € 733 or € 843 per dose if the drug were able to improve patient quality of life or enhance survival from 1.4 to 3 months. This study demonstrated that a value-based pricing approach using PE modeling and the WHO criteria for economic value is feasible and perhaps a better alternative to government mandated price cuts. The former approach would be a good starting point for opening dialog between European government payers and the pharmaceutical industry.

Estimating Price Elasticity of Demand for Motor Fuel in the Transport Sectors

Directory of Open Access Journals (Sweden)

Olga Vasilyevna Mazurova

2015-03-01

Full Text Available Modeling of long-term forecasts of prices and demand on regional energy markets requires accounting for the future changes in the interactions between the greater economy and its energy sector, along with the possible emergence of new factors and specific regional features determining those interactions. The proposed approach allows the study of a correlation between demand and prices for motor fuel, taking into account the competition of energy carriers, the dynamics of energy prices, resource constraints, the use of new technologies and the uncertainty of input data. The main feature of the proposed approach is the combined estimation of the price elasticity of demand for motor fuel with optimization of fuel supply in the region. Thus the author determined elasticity of demand based on the comparison of economic efficiency of the use of different fuels. The study includes results of experimental calculations and forecasted price according to demand for motor fuel in freight transportation for the expected development conditions of the Far Eastern federal district

Estimated effect of alcohol pricing policies on health and health economic outcomes in England: an epidemiological model.

Science.gov (United States)

Purshouse, Robin C; Meier, Petra S; Brennan, Alan; Taylor, Karl B; Rafia, Rachid

2010-04-17

Although pricing policies for alcohol are known to be effective, little is known about how specific interventions affect health-care costs and health-related quality-of-life outcomes for different types of drinkers. We assessed effects of alcohol pricing and promotion policy options in various population subgroups. We built an epidemiological mathematical model to appraise 18 pricing policies, with English data from the Expenditure and Food Survey and the General Household Survey for average and peak alcohol consumption. We used results from econometric analyses (256 own-price and cross-price elasticity estimates) to estimate effects of policies on alcohol consumption. We applied risk functions from systemic reviews and meta-analyses, or derived from attributable fractions, to model the effect of consumption changes on mortality and disease prevalence for 47 illnesses. General price increases were effective for reduction of consumption, health-care costs, and health-related quality of life losses in all population subgroups. Minimum pricing policies can maintain this level of effectiveness for harmful drinkers while reducing effects on consumer spending for moderate drinkers. Total bans of supermarket and off-license discounting are effective but banning only large discounts has little effect. Young adult drinkers aged 18-24 years are especially affected by policies that raise prices in pubs and bars. Minimum pricing policies and discounting restrictions might warrant further consideration because both strategies are estimated to reduce alcohol consumption, and related health harms and costs, with drinker spending increases targeting those who incur most harm. Policy Research Programme, UK Department of Health. Copyright 2010 Elsevier Ltd. All rights reserved.

Edgeworth Price Cycles, Cost-Based Pricing, and Sticky Pricing in Retail Gasoline Markets

OpenAIRE

Michael D. Noel

2007-01-01

This paper examines dynamic pricing behavior in retail gasoline markets for 19 Canadian cities over 574 weeks. I find three distinct retail pricing patterns: 1. cost-based pricing, 2. sticky pricing, and 3. steep, asymmetric retail price cycles that, while seldom documented empirically, resemble those of Maskin & Tirole[1988]. Using a Markov switching regression, I estimate the prevalence of patterns and the structural characteristics of the cycles. Retail price cycles prevail in over 40% of ...

FACTORS INFLUENCING THE ACCURACY OF PRE-CONTRACT STAGE ESTIMATION OF FINAL CONTRACT PRICE IN NEW ZEALAND

Directory of Open Access Journals (Sweden)

Cong Ji

2014-12-01

Full Text Available Establishing and prioritising the factors that may influence the final contract price when responding to a call for tenders is crucial for proper risk analysis and reliable forecasting; it could make or mar the ability to achieve expected profit margin in an era of lump sum fixed price contracts where clients often contest variation claims. In New Zealand, these factors have not been researched; hence estimators rely only on judgement to ‘guess-estimate’ in their price forecasting. This study aimed to fill the knowledge gap by investigating the priority factors. 150 responses from professional members of the New Zealand Institute of Quantity Surveyors were analysed using multi-attribute method. Results showed thirty-seven factors which could influence the final contract price; the three most influential being poor tender documentation, complexity of design & construction, and completeness of project information. Other factors relating to project, client and contractor characteristics, design consultants and tendering conditions, estimating practice and external factors were reported. Concordance analysis indicated high level of agreement amongst survey participants in the rank-ordering of the relative importance of the identified factors. The findings could assist quantity surveyors to prepare more reliable contract price estimates at the pre-contract stage. It would also improve construction-stage cost control.

Methodological proposals for estimating the price of climate in France

Science.gov (United States)

Joly, D.; Brossard, T.; Cardot, H.; Cavailhes, J.; Hilal, M.; Wavresky, P.

2009-09-01

A current project linking economists, geographers and mathematicians evaluates the price of climate in France. The economic data are mainly from housing surveys conducted by the INSEE. It consists in a total of 9,640 buyers of single-detached houses, 2,658 buyers of apartments, 3,447 tenants of single-detached houses and 8,615 tenants of apartments. Each transaction is located in space by X-Y geographical coordinates. The climatic data are derived from the Meteo-France data base (normal 1970-2000). They are related to (1) mean annual temperature, (2) mean temperature for January and July, (3) number of days with temperatures of less than -5 °C in January and more than 30 °C in July, (4) mean monthly rainfall, (5) rainfall in January and July, (6) number of days' precipitation in January and July. These data are recorded by a network of scattered weather stations. A raster GIS composed by ten data layers derived from a DEM and remote sensing images at 250 m resolution is used to initiate interpolations. Four types of interpolation techniques were tested. First we used regressions between climatic data (variables to be explained) and explanatory variables stored into the GIS. Second we used ordinary kriging; third a double step method linking regression and then kriging of the regression residuals. Finally we used a local interpolation method. Based on standard deviation values obtained by cross validation and R² values, the comparison between the four methods shows that the last one reduces the residuals to the minimum and explains the maximum of variance. It was retained in our project to compute continuous field of the climatic data. The predicted values are then merged with the housing survey data. We use the hedonic price method (Rosen, 1974) to determine the price of climatic attributes, which are capitalized in land rents. Three econometric methods are used: a fixed-effects model estimated by OLS or PLS method and a mixed model with random intercepts. The

Estimating the Competitive Storage Model with Trending Commodity Prices

OpenAIRE

Gouel , Christophe; LEGRAND , Nicolas

2017-01-01

We present a method to estimate jointly the parameters of a standard commodity storage model and the parameters characterizing the trend in commodity prices. This procedure allows the influence of a possible trend to be removed without restricting the model specification, and allows model and trend selection based on statistical criteria. The trend is modeled deterministically using linear or cubic spline functions of time. The results show that storage models with trend are always preferred ...

Implementation of Equilibrium-Price Model to the Estimation of Import Inflation

Directory of Open Access Journals (Sweden)

Yadulla Hasanli

2015-04-01

Full Text Available This study aims at investigating the the import inflationary processes as a result of feedbacks of mutual economic relations of World countries. It is used Equilibrium Price Model to estimate the import inflationary processes in CIS countries. The study investigates the further results regarding the import inflationary processes in the CIS countries on the scenario of increasing the Value Added norm in Russia. As well as by standpoint of economic growth and price stability, the recent revaluation of US dollar in the World and its impacts to total output of other countries have been investigated in details. In other words due to revaluation of the US dollar, if the final product decreases in USA, this decreasing impact how to be transmitted to the world countries have been estimated by the Input-Output Table in this study as well. The work is fulfilled on the Input-Output data for the year 2011. This study assumes theoretical and practical importance in defining the monetary policy.

Effects of beverage alcohol price and tax levels on drinking: a meta-analysis of 1003 estimates from 112 studies.

Science.gov (United States)

Wagenaar, Alexander C; Salois, Matthew J; Komro, Kelli A

2009-02-01

We conducted a systematic review of studies examining relationships between measures of beverage alcohol tax or price levels and alcohol sales or self-reported drinking. A total of 112 studies of alcohol tax or price effects were found, containing 1003 estimates of the tax/price-consumption relationship. Studies included analyses of alternative outcome measures, varying subgroups of the population, several statistical models, and using different units of analysis. Multiple estimates were coded from each study, along with numerous study characteristics. Using reported estimates, standard errors, t-ratios, sample sizes and other statistics, we calculated the partial correlation for the relationship between alcohol price or tax and sales or drinking measures for each major model or subgroup reported within each study. Random-effects models were used to combine studies for inverse variance weighted overall estimates of the magnitude and significance of the relationship between alcohol tax/price and drinking. Simple means of reported elasticities are -0.46 for beer, -0.69 for wine and -0.80 for spirits. Meta-analytical results document the highly significant relationships (P price measures and indices of sales or consumption of alcohol (aggregate-level r = -0.17 for beer, -0.30 for wine, -0.29 for spirits and -0.44 for total alcohol). Price/tax also affects heavy drinking significantly (mean reported elasticity = -0.28, individual-level r = -0.01, P prices and taxes are related inversely to drinking. Effects are large compared to other prevention policies and programs. Public policies that raise prices of alcohol are an effective means to reduce drinking.

Estimating cross-price elasticity of e-cigarettes using a simulated demand procedure.

Science.gov (United States)

Grace, Randolph C; Kivell, Bronwyn M; Laugesen, Murray

2015-05-01

Our goal was to measure the cross-price elasticity of electronic cigarettes (e-cigarettes) and simulated demand for tobacco cigarettes both in the presence and absence of e-cigarette availability. A sample of New Zealand smokers (N = 210) completed a Cigarette Purchase Task to indicate their demand for tobacco at a range of prices. They sampled an e-cigarette and rated it and their own-brand tobacco for favorability, and indicated how many e-cigarettes and regular cigarettes they would purchase at 0.5×, 1×, and 2× the current market price for regular cigarettes, assuming that the price of e-cigarettes remained constant. Cross-price elasticity for e-cigarettes was estimated as 0.16, and was significantly positive, indicating that e-cigarettes were partially substitutable for regular cigarettes. Simulated demand for regular cigarettes at current market prices decreased by 42.8% when e-cigarettes were available, and e-cigarettes were rated 81% as favorably as own-brand tobacco. However when cigarettes cost 2× the current market price, significantly more smokers said they would quit (50.2%) if e-cigarettes were not available than if they were available (30.0%). Results show that e-cigarettes are potentially substitutable for regular cigarettes and their availability will reduce tobacco consumption. However, e-cigarettes may discourage smokers from quitting entirely as cigarette price increases, so policy makers should consider maintaining a constant relative price differential between e-cigarettes and tobacco cigarettes. © The Author 2014. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Arbitrage Pricing, Capital Asset Pricing, and Agricultural Assets

OpenAIRE

Louise M. Arthur; Colin A. Carter; Fay Abizadeh

1988-01-01

A new asset pricing model, the arbitrage pricing theory, has been developed as an alternative to the capital asset pricing model. The arbitrage pricing theory model is used to analyze the relationship between risk and return for agricultural assets. The major conclusion is that the arbitrage pricing theory results support previous capital asset pricing model findings that the estimated risk associated with agricultural assets is low. This conclusion is more robust for the arbitrage pricing th...

OECD Transfer Pricing Guidelines - Implementation by Norwegian Tax Administration

Energy Technology Data Exchange (ETDEWEB)

Sollund, Stig

1998-07-01

Presentation. The growth of multinational enterprises and integration of world markets across national borders has increased the importance of this issue: How should corporate tax systems at the national level be applied to the profits of companies engaging in the vast number of cross border transactions? The challenges and implications of the issue are tremendous both to the national governments and to the enterprises. The OECD countries have responded to these challenges by declaring that each enterprise within a multinational group of companies shall be treated as a separate entity. In order to apply the separate entity approach to intra group transactions, individual group members must be taxed on the basis that they act at arm's length with each other. The arm's length principle is more easily understood in theory than applied in practice. In some countries, therefore, the authorities have explored other methods than the traditional ones, as described in the 1979 Transfer Pricing Report of the OECD. A confirmed consensus between the governments was reached in the form of the revised 1995 guidelines. The Norwegian Ministry of Finance has given its full support to the efforts of defending the separate entity approach and the arm's length principle in the OECD committees.

Estimating the Impact of Raising Prices and Eliminating Discounts on Cigarette Smoking Prevalence in the United States.

Science.gov (United States)

Marynak, Kristy L; Xu, Xin; Wang, Xu; Holmes, Carissa Baker; Tynan, Michael A; Pechacek, Terry

2016-01-01

The average retail price per pack of cigarettes is less than $6, which is substantially lower than the $10 per-pack target established in 2014 by the Surgeon General to reduce the smoking rate. We estimated the impact of three cigarette pricing scenarios on smoking prevalence among teens aged 12-17 years, young adults aged 18-25 years, and adults aged ≥26 years, by state: (1) $0.94 federal tax increase on cigarettes, as proposed in the fiscal year 2017 President's budget; (2) $10 per-pack retail price, allowing discounts; and (3) $10 per-pack retail price, eliminating discounts. We conducted Monte Carlo simulations to generate point estimates of reductions in cigarette smoking prevalence by state. We found that each price scenario would substantially reduce cigarette smoking prevalence. A $10 per-pack retail price eliminating discounts could result in 637,270 fewer smokers aged 12-17 years; 4,186,954 fewer smokers aged 18-25 years; and 7,722,460 fewer smokers aged ≥26 years. Raising cigarette prices and eliminating discounts could substantially reduce cigarette smoking prevalence as well as smoking-related death and disease.

A study of the improvement of the district heat price cap system

Energy Technology Data Exchange (ETDEWEB)

Yoo, S.J. [Korea Energy Economics Institute, Euiwang (Korea)

2001-11-01

the guideline how the price cap is adjusted to reflect the impact of transfer of the ownership, and the level of the price cap before the transfer of the ownership. This informs the potential buyers of the estimate of the profit and helps them to determine the purchasing price. With this predetermined guideline of the price cap, privatization of the district heating company and change of the ownership results in the increase of the consumer welfare. (author). 25 refs., 7 figs., 3 tabs.

Estimating the Price Elasticity of Demand for Different Levels of Alcohol Consumption among Young Adults

OpenAIRE

Vinish Shrestha

2015-01-01

Understanding the effect of higher alcohol prices on alcohol demand according to one’s level of alcohol consumption is crucial while evaluating the effectiveness of using alcohol taxes as an alcohol-control medium. In this study, I estimate the differential responses to alcohol prices on alcohol demand for young adults by asking whether heavy drinkers are more responsive to higher alcohol prices than light and moderate drinkers. To conduct the analysis, I use the data from the National Long...

Nye OECD-retningslinjer for transfer pricing dokumentation

DEFF Research Database (Denmark)

Rossing, Christian Plesner

2015-01-01

er vedtaget, erstatte det nuværende kapitel V om transfer pricing dokumentation i ‘OECD Transfer Pricing Guidelines for Multinational Enterprises and Tax Administrations’. De gældende danske regler for transfer pricing dokumentation baserer sig på de eksisterende OECD-retningslinjer, og det må...

Unit Price and Cost Estimation Equations through Items Percentage of Construction Works in a Desert Area

Directory of Open Access Journals (Sweden)

Kadhim Raheem

2015-02-01

Full Text Available This research will cover different aspects of estimating process of construction work in a desert area. The inherent difficulties which accompany the cost estimating of the construction works in desert environment in a developing country, will stem from the limited information available, resources scarcity, low level of skilled workers, the prevailing severe weather conditions and many others, which definitely don't provide a fair, reliable and accurate estimation. This study tries to present unit price to estimate the cost in preliminary phase of a project. Estimations are supported by developing mathematical equations based on the historical data of maintenance, new construction of managerial and school projects. Meanwhile, the research has determined the percentage of project items, in such a remote environment. Estimation equations suitable for remote areas have been formulated. Moreover, a procedure for unite price calculation is concluded.

Sensitivity of price elasticity of demand to aggregation, unobserved heterogeneity, price trends, and price endogeneity: Evidence from U.S. Data

International Nuclear Information System (INIS)

Miller, Mark; Alberini, Anna

2016-01-01

Price elasticity estimates of residential electricity demand vary widely across the energy economics and policy literature. In this paper, we seek to explain these findings using three nationwide datasets from the U.S. – the American Housing Survey, Forms EIA-861, and the Residential Energy Consumption Survey. We examine the role of the sample period, level of aggregation, use of panel data, use of instrumental variables, and inclusion of housing characteristics and capital stock. Our findings suggest that price elasticities have remained relatively constant over time. Upon splitting our panel datasets into annual cross sections, we do observe a negative relationship between price elasticities and the average price. Whether prices are rising or falling appears to have little effect on our estimates. We also find that aggregating our data can result in both higher and lower price elasticity estimates, depending on the dataset used, and that controlling for unit-level fixed effects with panel data generally results in more inelastic demand functions. Addressing the endogeneity of price and/or measurement error in price with instrumental variables has a small but noticeable effect on the price elasticities. Finally, controlling for housing characteristics and capital stock produces a lower price elasticity. - Highlights: • The price elasticity of residential electricity demand varies widely across studies. • We use three large datasets from the US to examine reasons for such wide variation. • Some assessed effects include aggregation, unobserved heterogeneity, and price trends. • Correcting for such issues can change the estimated price elasticity by 50–100%.

Using Hedonic price model to estimate effects of flood on real ...

African Journals Online (AJOL)

Distances were measured in metres from the centroid of the building to the edge of the river and roads using Global Positioning System. The result of the estimation shows that property located within the floodplain are lowers in value by an average of N 493, 408 which represents 6.8 percent reduction in sales price for an ...

Transfer pricing and safe harbours

Directory of Open Access Journals (Sweden)

Veronika Solilová

2013-01-01

Full Text Available Transfer prices are significant for both taxpayers and tax administrations because they determine in large part taxable profits of associated enterprises in different tax jurisdictions. Moreover, in the context of taxation, transfer prices must be complied with the arm’s length principle. However, Multinational Enterprises have been faced daily by conflicting rules and approaches to applying the arm’s length principle, burdensome documentation requirements, inconsistent audit standards and unpredictable competent authority outcomes. Therefore, the Committee on Fiscal Affairs launched another project on the administrative aspects of transfer pricing in 2010. On 16 May 2013 as a partial solution of this project was approved by the OECD Council the Revised Section E on Safe Harbours in Chapter IV of the Transfer Pricing Guidelines for Multinational Enterprises and Tax Authorities. The paper is focused on significant changes of newly approved chapter IV of the Transfer Pricing Guidelines for Multinational Enterprises and Tax Authorities, further on analysis of practice in this area, on advantages and disadvantages of safe harbours for taxpayers and competent authorities with aim to suggest recommendations on use of safe harbours in the Czech Republic.

Estimating the common trend rate of inflation for consumer prices and consumer prices excluding food and energy prices

OpenAIRE

Michael T. Kiley

2008-01-01

I examine the common trend in inflation for consumer prices and consumer prices excluding prices of food and energy. Both the personal consumption expenditure (PCE) indexes and the consumer price indexes (CPI) are examined. The statistical model employed is a bivariate integrated moving average process; this model extends a univariate model that fits the data on inflation very well. The bivariate model forecasts as well as the univariate models. The results suggest that the relationship betwe...

Estimating local, organic, and other price premiums of shell eggs in Hawaii.

Science.gov (United States)

Loke, Matthew K; Xu, Xun; Leung, PingSun

2016-05-01

Hedonic modeling and retail scanner data were utilized to investigate the influence of local, organic, nutrition benefits, and other attributes of shell eggs on retail price premium in Hawaii. Within a revealed preference framework, the analysis of local and organic attributes, simultaneously, under a single unified setting is important, as such work is highly deficient in the published literature. This paper finds high to moderate price premiums in four key attributes of shell eggs - organic (64%), local (40%), nutrition benefits claimed (33%), and brown shell (18.4%). Large and extra-large sized eggs also experience price premiums over medium sized eggs. With each larger packing size, the estimated coefficients were negative, indicating a price discount, relative to the baseline packing size. However, there is no evidence to support the overwhelming influence of "local" over "organic", as hypothesized in other research work. Overall, the findings in this paper suggest industry producers and retailers should highlight and market effusively the primary attributes of their shell eggs, including "local", to remain competitive in the marketplace. Effective communication channels are crucial to delivering the product information, capturing the attention of consumers, and securing retail sales. © 2016 Poultry Science Association Inc.

Estimating the own-price elasticity of demand for irrigation water in the Musi catchment of India

Science.gov (United States)

Davidson, Brian; Hellegers, Petra

2011-10-01

SummaryAs irrigation water is an input into a production process, its demand must be 'derived'. According to theory, a derived demand schedule should be downward sloping and dependent on the outputs produced from it, the prices of other inputs and the price of the water itself. Problems arise when an attempt is made to estimate the demand for irrigation water and the resulting own-price elasticity of demand, as the uses to which water is put are spatially, temporarily and geographically diverse. Because water is not generally freely traded, what normally passes for an estimate of the own-price elasticity of demand for irrigation water is usually a well argued assumption or an estimate that is derived from a simulation model of a hypothesized producer. Such approaches tend to provide an inadequate explanation of what is an extremely complex and important relationship. An adequate explanation of the relationship between the price and the quantity demanded of water should be one that not only accords with the theoretical expectations, but also accounts for the diversity of products produced from water (which includes the management practices of farmers), the seasons in which it is used and over the region within which it is used. The objective in this article is to present a method of estimating the demand curve for irrigation water. The method uses actual field data which is collated using the Residual Method to determine the value of the marginal product of water deployed over a wide range of crops, seasons and regions. These values of the marginal products, all which must lie of the input demand schedule for water, are then ordered from the highest value to the lowest. Then, the amount of irrigation water used for each product, in each season and in each region is cumulatively summed over the range of uses according to the order of the values of the marginal products. This data, once ordered, is then used to econometrically estimate the demand schedule from which

Estimating the system price of redox flow batteries for grid storage

Science.gov (United States)

Ha, Seungbum; Gallagher, Kevin G.

2015-11-01

Low-cost energy storage systems are required to support extensive deployment of intermittent renewable energy on the electricity grid. Redox flow batteries have potential advantages to meet the stringent cost target for grid applications as compared to more traditional batteries based on an enclosed architecture. However, the manufacturing process and therefore potential high-volume production price of redox flow batteries is largely unquantified. We present a comprehensive assessment of a prospective production process for aqueous all vanadium flow battery and nonaqueous lithium polysulfide flow battery. The estimated investment and variable costs are translated to fixed expenses, profit, and warranty as a function of production volume. When compared to lithium-ion batteries, redox flow batteries are estimated to exhibit lower costs of manufacture, here calculated as the unit price less materials costs, owing to their simpler reactor (cell) design, lower required area, and thus simpler manufacturing process. Redox flow batteries are also projected to achieve the majority of manufacturing scale benefits at lower production volumes as compared to lithium-ion. However, this advantage is offset due to the dramatically lower present production volume of flow batteries compared to competitive technologies such as lithium-ion.

Tiered co-payments, pricing, and demand in reference price markets for pharmaceuticals.

Science.gov (United States)

Herr, Annika; Suppliet, Moritz

2017-12-01

Health insurance companies curb price-insensitive behavior and the moral hazard of insureds by means of cost-sharing, such as tiered co-payments or reference pricing in drug markets. This paper evaluates the effect of price limits - below which drugs are exempt from co-payments - on prices and on demand. First, using a difference-in-differences estimation strategy, we find that the new policy decreases prices by 5 percent for generics and increases prices by 4 percent for brand-name drugs in the German reference price market. Second, estimating a nested-logit demand model, we show that consumers appreciate co-payment exempt drugs and calculate lower price elasticities for brand-name drugs than for generics. This explains the different price responses of brand-name and generic drugs and shows that price-related co-payment tiers are an effective tool to steer demand to low-priced drugs. Copyright © 2017 Elsevier B.V. All rights reserved.

Estimating the shadow prices of SO2 and NOx for U.S. coal power plants: A convex nonparametric least squares approach

International Nuclear Information System (INIS)

Mekaroonreung, Maethee; Johnson, Andrew L.

2012-01-01

Weak disposability between outputs and pollutants, defined as a simultaneous proportional reduction of both outputs and pollutants, assumes that pollutants are byproducts of the output generation process and that a firm can “freely dispose” of both by scaling down production levels, leaving some inputs idle. Based on the production axioms of monotonicity, convexity and weak disposability, we formulate a convex nonparametric least squares (CNLS) quadratic optimization problem to estimate a frontier production function assuming either a deterministic disturbance term consisting only of inefficiency, or a composite disturbance term composed of both inefficiency and noise. The suggested methodology extends the stochastic semi-nonparametric envelopment of data (StoNED) described in Kuosmanen and Kortelainen (2011). Applying the method to estimate the shadow prices of SO 2 and NO x generated by U.S. coal power plants, we conclude that the weak disposability StoNED method provides more consistent estimates of market prices. - Highlights: ► Develops methodology to estimate shadow prices for SO 2 and NO x in the U.S. coal power plants. ► Extends CNLS and StoNED methods to include the weak disposability assumption. ► Estimates the range of SO 2 and NO x shadow prices as 201–343 $/ton and 409–1352 $/ton. ► StoNED method provides more accurate estimates of shadow prices than deterministic frontier.

Price estimation and economic evaluation of the production cost of red wines produced by immobilized cells on dried raisin berries

Directory of Open Access Journals (Sweden)

Argiris Tsakiris

2011-02-01

Full Text Available Argiris Tsakiris1, Kiriaki Sotirakoglou2, Panagiotis Kandylis3, Panagiotis Kaldis1, Constantina Tzia4, Yiannis Kourkoutas31Department of Oenology and Beverage Technology, Faculty of Food Technology and Nutrition, Technological Educational Institute of Athens, Athens, Greece; 2Department of Mathematics and Statistics, Agricultural University of Athens, Athens, Greece; 3Applied Microbiology and Molecular Biotechnology Research Group, Department of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece; 4Laboratory of Food Chemistry and Technology, School of Chemical Engineering, National Technical University of Athens, Athens, GreeceAbstract: The aim of the study was initially to estimate the price of red wines produced by immobilized cells on dried raisin berries and subsequently to investigate whether the estimated price was sufficient to counterbalance the increased investment and operational costs required for industrial application of the novel biotechnological process. Price estimation of the experimental wines was based on the correlation of sensory quality, determined by a group of trained tasters, and the price of commercial wines available in a certain market. Application of principal component analysis (PCA provided improved results over simple and exponential regression analysis, as only a part of the relationship between the two variables was represented (68.4% and 75.3%, respectively. However, with PCA the total variance explained by the two components was 100%. Taste was more important than aroma in determining sensory quality, and wine price was mainly affected by sensory quality rather than wine age in the Greek market. The total increase of production cost was estimated to be €0.032/bottle, which is significantly lower than the increase of €2.08/bottle price estimated by PCA for the red wines produced by immobilized cells, due to the improved aromatic potential compared with wines produced by

Land of Addicts? An Empirical Investigation of Habit-Based Asset Pricing Models

OpenAIRE

Sydney Ludvigson; Xiaohong Chen

2004-01-01

A leading explanation of aggregate stock market behavior suggests that assets are priced as if there were a representative investor whose utility is a power function of the difference between aggregate consumption and a "habit" level, where the habit is some function of lagged and (possibly) contemporaneous consumption. But theory does not provide precise guidelines about the parametric functional relationship between the habit and aggregate consumption. This makes formal estimation and testi...

Estimating customer preferences for new pricing products. Final report

International Nuclear Information System (INIS)

Goett, A.A.

1998-10-01

This report summarizes the results of a review of various methods to analyze customer preferences for electric service pricing products. The purpose of this study was to evaluate different techniques for analyzing preferences for electric service and pricing products in a competitive retail electricity market. In this market, competing providers will offer a variety of electric services under different price structures, and customers will face the decision of choosing a single electric service provider and pricing plan. The service and price characteristics that utilities offer will largely determine their market shares and profitability. Understanding preferences will be critical to quantifying the effects of service and pricing attributes on market share and profitability in the deregulated retail electricity market

Estimating the effects of Technology and Depletion on the Real Price of Copper in the U. S. Using a Cointegration Approach

Energy Technology Data Exchange (ETDEWEB)

Bunuel, M.

2001-07-01

The effects of technology and depletion on U. S. copper scarcity- as measured by real price can be estimated explicitly using econometrics, rather than assuming the their combined effect is implicit in a quadratic trend. The two most relevant cost-decreasing technologies-black-caving and open-pit mining and leaching and solvent extraction-electrowinning (SX-EW)-are proxied by their rate of diffusion. Depletion is proxied by average yield. Since these proxies and real price contain a unit root. Johansen's maximum-likelihood estimation procedure is used to test for the number of cointegrating relations, and estimate a vector autoregressive model from which a price equation in error-correction form is derived. A unique cointegrating relation without a trend is found, which supports the hypothesis that the real price of copper has no scarcity-rent component if we believe that this components should be modeled as a trend. The cointegrating relation loads into the price equation, and the convergence towards the long-run equilibrium is almost instantaneous. The estimated combined effect of physical depletion and technology on the U. S. real price of copper shows that the diffusion of block-caving and open-pit mining technologies off set the effect on price of the decline in average yield until the end of the thirties. From 1938 to 1976, the combined effect was slightly positive, and markedly and continuously negative thereafter, as a result of the introduction of leaching and SX-EW technologies, and the stabilization and even increase of average yield. (Author)

State energy price and expenditure report 1994

Energy Technology Data Exchange (ETDEWEB)

NONE

1997-06-01

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1994. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1994, Consumption Estimates (SEDR), published in October 1996. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources. Documentation is included describing the development of price estimates, data sources, and calculation methods. 316 tabs.

State energy price and expenditure report 1994

International Nuclear Information System (INIS)

1997-06-01

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1994. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1994, Consumption Estimates (SEDR), published in October 1996. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources. Documentation is included describing the development of price estimates, data sources, and calculation methods. 316 tabs

48 CFR 514.270-7 - Guidelines for using the price list method.

Science.gov (United States)

2010-10-01

... on knowledge of the supplies or services and previous contract prices. (d) First time use for an item... price list method. 514.270-7 Section 514.270-7 Federal Acquisition Regulations System GENERAL SERVICES... for using the price list method. (a) General. The price list method helps avoid unbalanced bidding...

Estimated Effects of Different Alcohol Taxation and Price Policies on Health Inequalities: A Mathematical Modelling Study.

Directory of Open Access Journals (Sweden)

Petra S Meier

2016-02-01

Full Text Available While evidence that alcohol pricing policies reduce alcohol-related health harm is robust, and alcohol taxation increases are a WHO "best buy" intervention, there is a lack of research comparing the scale and distribution across society of health impacts arising from alternative tax and price policy options. The aim of this study is to test whether four common alcohol taxation and pricing strategies differ in their impact on health inequalities.An econometric epidemiological model was built with England 2014/2015 as the setting. Four pricing strategies implemented on top of the current tax were equalised to give the same 4.3% population-wide reduction in total alcohol-related mortality: current tax increase, a 13.4% all-product duty increase under the current UK system; a value-based tax, a 4.0% ad valorem tax based on product price; a strength-based tax, a volumetric tax of £0.22 per UK alcohol unit (= 8 g of ethanol; and minimum unit pricing, a minimum price threshold of £0.50 per unit, below which alcohol cannot be sold. Model inputs were calculated by combining data from representative household surveys on alcohol purchasing and consumption, administrative and healthcare data on 43 alcohol-attributable diseases, and published price elasticities and relative risk functions. Outcomes were annual per capita consumption, consumer spending, and alcohol-related deaths. Uncertainty was assessed via partial probabilistic sensitivity analysis (PSA and scenario analysis. The pricing strategies differ as to how effects are distributed across the population, and, from a public health perspective, heavy drinkers in routine/manual occupations are a key group as they are at greatest risk of health harm from their drinking. Strength-based taxation and minimum unit pricing would have greater effects on mortality among drinkers in routine/manual occupations (particularly for heavy drinkers, where the estimated policy effects on mortality rates are as

Estimated Effects of Different Alcohol Taxation and Price Policies on Health Inequalities: A Mathematical Modelling Study.

Science.gov (United States)

Meier, Petra S; Holmes, John; Angus, Colin; Ally, Abdallah K; Meng, Yang; Brennan, Alan

2016-02-01

While evidence that alcohol pricing policies reduce alcohol-related health harm is robust, and alcohol taxation increases are a WHO "best buy" intervention, there is a lack of research comparing the scale and distribution across society of health impacts arising from alternative tax and price policy options. The aim of this study is to test whether four common alcohol taxation and pricing strategies differ in their impact on health inequalities. An econometric epidemiological model was built with England 2014/2015 as the setting. Four pricing strategies implemented on top of the current tax were equalised to give the same 4.3% population-wide reduction in total alcohol-related mortality: current tax increase, a 13.4% all-product duty increase under the current UK system; a value-based tax, a 4.0% ad valorem tax based on product price; a strength-based tax, a volumetric tax of £0.22 per UK alcohol unit (= 8 g of ethanol); and minimum unit pricing, a minimum price threshold of £0.50 per unit, below which alcohol cannot be sold. Model inputs were calculated by combining data from representative household surveys on alcohol purchasing and consumption, administrative and healthcare data on 43 alcohol-attributable diseases, and published price elasticities and relative risk functions. Outcomes were annual per capita consumption, consumer spending, and alcohol-related deaths. Uncertainty was assessed via partial probabilistic sensitivity analysis (PSA) and scenario analysis. The pricing strategies differ as to how effects are distributed across the population, and, from a public health perspective, heavy drinkers in routine/manual occupations are a key group as they are at greatest risk of health harm from their drinking. Strength-based taxation and minimum unit pricing would have greater effects on mortality among drinkers in routine/manual occupations (particularly for heavy drinkers, where the estimated policy effects on mortality rates are as follows: current tax

Intranational Price Convergence and Price Stickiness

DEFF Research Database (Denmark)

Bergman, Ulf Michael; Heebøll, Christian; Hansen, Niels Lynggaard

2017-01-01

We show that estimates of the half-life of deviations from LOOP are biased when not taking into account the precision when aggregating over types of goods. Using a comprehensive dataset with monthly price data for 124 homogeneous products across regions in Denmark over the period 1997–2010 we find...... a large positive aggregation bias. On average, we find that the half-life is 8.4 months when taking the bias into account compared to 28.7 months when applying the standard method. The heterogeneity in estimated half-life can be explained by price stickiness, distance between regions and whether the good...

State energy price and expenditure report 1990

International Nuclear Information System (INIS)

1992-01-01

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The estimates are provided by energy source and economic sector. This report is an update of the State Energy Price and Expenditure Report 1989 published in September 1991. Energy price and expenditure estimates are published for the years 1970, 1975, 1980, and 1985 through 1990. Documentation follows the tables and describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied

Estimating the price elasticity of beer: meta-analysis of data with heterogeneity, dependence, and publication bias.

Science.gov (United States)

Nelson, Jon P

2014-01-01

Precise estimates of price elasticities are important for alcohol tax policy. Using meta-analysis, this paper corrects average beer elasticities for heterogeneity, dependence, and publication selection bias. A sample of 191 estimates is obtained from 114 primary studies. Simple and weighted means are reported. Dependence is addressed by restricting number of estimates per study, author-restricted samples, and author-specific variables. Publication bias is addressed using funnel graph, trim-and-fill, and Egger's intercept model. Heterogeneity and selection bias are examined jointly in meta-regressions containing moderator variables for econometric methodology, primary data, and precision of estimates. Results for fixed- and random-effects regressions are reported. Country-specific effects and sample time periods are unimportant, but several methodology variables help explain the dispersion of estimates. In models that correct for selection bias and heterogeneity, the average beer price elasticity is about -0.20, which is less elastic by 50% compared to values commonly used in alcohol tax policy simulations. Copyright © 2013 Elsevier B.V. All rights reserved.

Estimation of demand response to energy price signals in energy consumption behaviour in Beijing, China

International Nuclear Information System (INIS)

He, Y.X.; Liu, Y.Y.; Xia, T.; Zhou, B.

2014-01-01

Highlights: • Demand response to energy price signals in energy consumption in Beijing is studied. • The electricity price is of great importance to Beijing’s energy market stability. • Industrial sectors have a large electricity self-elasticity and cross-elasticity. • When consuming electricity, customers pay more attention to natural gas price. • Analysis of demand response to energy price can provide guidance to energy policies. - Abstract: The energy price system in Beijing has not fully exploited customers’ price elasticity, and has a negative impact on achieving the goals of energy saving. This paper analyses the response behaviours of different customers to typical energy prices. As for electricity self-elasticity, the range of the primary, secondary, tertiary industry and residents are −0.026 to −0.033, −0.045 to −0.059, −0.035 to −0.047 and −0.024 to −0.032, respectively. As regards self-elasticity on coal, the range of the primary, secondary, tertiary industry and residents are −0.030 to −0.037, −0.066 to −0.093, −0.055 to −0.072 and −0.034 to −0.051, respectively. The self-elasticities on oil and natural gas are very weak. As for cross-elasticity, when consuming electricity and oil, customers mainly focus on the prices of natural gas, which are 0.185 and 0.112. When consuming coal and natural gas, customers are concerned about the electricity prices, and their cross-elasticities are 0.03 and 0.36, respectively. The estimation of demand response to energy price signals in energy consumption behaviours can provide a decision support for formulating rational energy price policies

The Role of Inflation and Price Escalation Adjustments in Properly Estimating Program Costs: F-35 Case Study

Science.gov (United States)

2016-03-01

standard practice is to deflate costs to constant dollars (the dependent variable in the analogous regression) using a previously determined price ...I N S T I T U T E F O R D E F E N S E A N A L Y S E S IDA Document D-5489 March 2016 The Role of Inflation and Price Escalation Adjustments in...DFARS 252.227-7013 (a)(16) [Jun 2013]. The Role of Inflation and Price Escalation Adjustments in Properly Estimating Program Costs: F-35 Case Study

Unit Pricing and Alternatives: Developing an Individualized Shopping Strategy.

Science.gov (United States)

Cude, Brenda; Walker, Rosemary

1985-01-01

This article offers a new perspective on the teaching of unit pricing in consumer economics classes by identifying ways to teach the costs as well as the benefits of unit pricing and realistic guidelines for suggesting situations in which it is most appropriate. Alternatives to unit pricing will also be explored. (CT)

Beyond the sticker price: including and excluding time in comparing food prices.

Science.gov (United States)

Yang, Yanliang; Davis, George C; Muth, Mary K

2015-07-01

An ongoing debate in the literature is how to measure the price of food. Most analyses have not considered the value of time in measuring the price of food. Whether or not the value of time is included in measuring the price of a food may have important implications for classifying foods based on their relative cost. The purpose of this article is to compare prices that exclude time (time-exclusive price) with prices that include time (time-inclusive price) for 2 types of home foods: home foods using basic ingredients (home recipes) vs. home foods using more processed ingredients (processed recipes). The time-inclusive and time-exclusive prices are compared to determine whether the time-exclusive prices in isolation may mislead in drawing inferences regarding the relative prices of foods. We calculated the time-exclusive price and time-inclusive price of 100 home recipes and 143 processed recipes and then categorized them into 5 standard food groups: grains, proteins, vegetables, fruit, and dairy. We then examined the relation between the time-exclusive prices and the time-inclusive prices and dietary recommendations. For any food group, the processed food time-inclusive price was always less than the home recipe time-inclusive price, even if the processed food's time-exclusive price was more expensive. Time-inclusive prices for home recipes were especially higher for the more time-intensive food groups, such as grains, vegetables, and fruit, which are generally underconsumed relative to the guidelines. Focusing only on the sticker price of a food and ignoring the time cost may lead to different conclusions about relative prices and policy recommendations than when the time cost is included. © 2015 American Society for Nutrition.

Determining the best forecasting method to estimate unitary charges price indexes of PFI data in central region Peninsular Malaysia

Science.gov (United States)

Ahmad Kamaruddin, Saadi Bin; Md Ghani, Nor Azura; Mohamed Ramli, Norazan

2013-04-01

The concept of Private Financial Initiative (PFI) has been implemented by many developed countries as an innovative way for the governments to improve future public service delivery and infrastructure procurement. However, the idea is just about to germinate in Malaysia and its success is still vague. The major phase that needs to be given main attention in this agenda is value for money whereby optimum efficiency and effectiveness of each expense is attained. Therefore, at the early stage of this study, estimating unitary charges or materials price indexes in each region in Malaysia was the key objective. This particular study aims to discover the best forecasting method to estimate unitary charges price indexes in construction industry by different regions in the central region of Peninsular Malaysia (Selangor, Federal Territory of Kuala Lumpur, Negeri Sembilan, and Melaka). The unitary charges indexes data used were from year 2002 to 2011 monthly data of different states in the central region Peninsular Malaysia, comprising price indexes of aggregate, sand, steel reinforcement, ready mix concrete, bricks and partition, roof material, floor and wall finishes, ceiling, plumbing materials, sanitary fittings, paint, glass, steel and metal sections, timber and plywood. At the end of the study, it was found that Backpropagation Neural Network with linear transfer function produced the most accurate and reliable results for estimating unitary charges price indexes in every states in central region Peninsular Malaysia based on the Root Mean Squared Errors, where the values for both estimation and evaluation sets were approximately zero and highly significant at p Malaysia. The estimated price indexes of construction materials will contribute significantly to the value for money of PFI as well as towards Malaysian economical growth.

Estimating Multivariate Exponentail-Affine Term Structure Models from Coupon Bound Prices using Nonlinear Filtering

DEFF Research Database (Denmark)

Baadsgaard, Mikkel; Nielsen, Jan Nygaard; Madsen, Henrik

2000-01-01

An econometric analysis of continuous-timemodels of the term structure of interest rates is presented. A panel of coupon bond prices with different maturities is used to estimate the embedded parameters of a continuous-discrete state space model of unobserved state variables: the spot interest rate...... noise term should account for model errors. A nonlinear filtering method is used to compute estimates of the state variables, and the model parameters are estimated by a quasimaximum likelihood method provided that some assumptions are imposed on the model residuals. Both Monte Carlo simulation results...

State energy price and expenditure report 1989

International Nuclear Information System (INIS)

1991-01-01

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates for the 50 States, the District of Columbia, and the United States. The estimates are provided by energy source (e.g., petroleum, natural gas, coal, and electricity) and by major consuming or economic sector. This report is an update of the State Energy Price and Expenditure Report 1988 published in September 1990. Changes from the last report are summarized in a section of the documentation. Energy price and expenditure estimates are published for the years 1970, 1975, 1980, and 1985 through 1989. Documentation follows the tables and describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. Consumption estimates used to calculate expenditures, and the documentation for those estimates, are from the State Energy Data Report, Consumption Estimates, 1960--1989 (SEDR), published in May 1991. Expenditures are calculated by multiplying the price estimates by the consumption estimates, adjusted to remove process fuel and intermediate product consumption. All expenditures are consumer expenditures, that is, they represent estimates of money directly spent by consumers to purchase energy, generally including taxes. 11 figs., 43 tabs

State energy price and expenditure report 1989

Energy Technology Data Exchange (ETDEWEB)

1991-09-30

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates for the 50 States, the District of Columbia, and the United States. The estimates are provided by energy source (e.g., petroleum, natural gas, coal, and electricity) and by major consuming or economic sector. This report is an update of the State Energy Price and Expenditure Report 1988 published in September 1990. Changes from the last report are summarized in a section of the documentation. Energy price and expenditure estimates are published for the years 1970, 1975, 1980, and 1985 through 1989. Documentation follows the tables and describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. Consumption estimates used to calculate expenditures, and the documentation for those estimates, are from the State Energy Data Report, Consumption Estimates, 1960--1989 (SEDR), published in May 1991. Expenditures are calculated by multiplying the price estimates by the consumption estimates, adjusted to remove process fuel and intermediate product consumption. All expenditures are consumer expenditures, that is, they represent estimates of money directly spent by consumers to purchase energy, generally including taxes. 11 figs., 43 tabs.

Pediatric Price Transparency: Still Opaque With Opportunities for Improvement.

Science.gov (United States)

Faherty, Laura J; Wong, Charlene A; Feingold, Jordyn; Li, Joan; Town, Robert; Fieldston, Evan; Werner, Rachel M

2017-10-01

Price transparency is gaining importance as families' portion of health care costs rise. We describe (1) online price transparency data for pediatric care on children's hospital Web sites and state-based price transparency Web sites, and (2) the consumer experience of obtaining an out-of-pocket estimate from children's hospitals for a common procedure. From 2015 to 2016, we audited 45 children's hospital Web sites and 38 state-based price transparency Web sites, describing availability and characteristics of health care prices and personalized cost estimate tools. Using secret shopper methodology, we called children's hospitals and submitted online estimate requests posing as a self-paying family requesting an out-of-pocket estimate for a tonsillectomy-adenoidectomy. Eight children's hospital Web sites (18%) listed prices. Twelve (27%) provided personalized cost estimate tool (online form n = 5 and/or phone number n = 9). All 9 hospitals with a phone number for estimates provided the estimated patient liability for a tonsillectomy-adenoidectomy (mean $6008, range $2622-$9840). Of the remaining 36 hospitals without a dedicated price estimate phone number, 21 (58%) provided estimates (mean $7144, range $1200-$15 360). Two of 4 hospitals with online forms provided estimates. Fifteen (39%) state-based Web sites distinguished between prices for pediatric and adult care. One had a personalized cost estimate tool. Meaningful prices for pediatric care were not widely available online through children's hospital or state-based price transparency Web sites. A phone line or online form for price estimates were effective strategies for hospitals to provide out-of-pocket price information. Opportunities exist to improve pediatric price transparency. Copyright © 2017 by the American Academy of Pediatrics.

Strategic Transfer Pricing : The Art of Pricing Inter-company Transactions between Sweden and China

OpenAIRE

Hjertberg, Ida; Pettersson, Sanna

2010-01-01

Background International transfer pricing has been a highlighted issue during the last decades as country after country has revised and introduced new transfer pricing laws as a respond to the expanded globalization. Several countries are adopting similar approaches and the prime guiding principles are provided by the Organization for Economic Co-Operation (OECD). The international law as well as the laws of all 30 member countries is based on the OECD Guidelines. Purpose The purpose of this ...

Estimating consumer willingness to pay a price premium for Alaska secondary wood products.

Science.gov (United States)

Geoffrey H. Donovan; David L. Nicholls

2003-01-01

Dichotomous choice contingent valuation survey techniques were used to estimate mean willingness to pay (WTP) a price premium for made-in-Alaska secondary wood products. Respondents were asked to compare two superficially identical end tables, one made in China and one made in Alaska. The surveys were administered at home shows in Anchorage, Fairbanks, and Sitka in...

Estimates of price and income elasticity in Greece. Greek debt crisis transforming cigarettes into a luxury good: an econometric approach

Science.gov (United States)

Tarantilis, Filippos; Athanasakis, Kostas; Zavras, Dimitris; Vozikis, Athanassios; Kyriopoulos, Ioannis

2015-01-01

Objective During the past decades, smoking prevalence in Greece was estimated to be near or over 40%. Following a sharp fall in cigarette consumption, as shown in current data, our objective is to assess smokers’ sensitivity to cigarette price and consumer income changes as well as to project health benefits of an additional tax increase. Methods Cigarette consumption was considered as the dependent variable, with Weighted Average Price as a proxy for cigarette price, gross domestic product as a proxy for consumers’ income and dummy variables reflecting smoking restrictions and antismoking campaigns. Values were computed to natural logarithms and regression was performed. Then, four scenarios of tax increase were distinguished in order to calculate potential health benefits. Results Short-run price elasticity is estimated at −0.441 and short-run income elasticity is estimated at 1.040. Antismoking campaigns were found to have a statistically significant impact on consumption. Results indicate that, depending on the level of tax increase, annual per capita consumption could fall by at least 209.83 cigarettes; tax revenue could rise by more than €0.74 billion, while smokers could be reduced by up to 530 568 and at least 465 smoking-related deaths could be averted. Conclusions Price elasticity estimates are similar to previous studies in Greece, while income elasticity estimates are far greater. With cigarettes regarded as a luxury good, a great opportunity is presented for decisionmakers to counter smoking. Increased taxation, along with focused antismoking campaigns, law reinforcement (to ensure compliance with smoking bans) and intensive control for smuggling could invoke a massive blow to the tobacco epidemic in Greece. PMID:25564137

Estimated Effects of Different Alcohol Taxation and Price Policies on Health Inequalities: A Mathematical Modelling Study

Science.gov (United States)

Meier, Petra S.; Holmes, John; Angus, Colin; Ally, Abdallah K.; Meng, Yang; Brennan, Alan

2016-01-01

Introduction While evidence that alcohol pricing policies reduce alcohol-related health harm is robust, and alcohol taxation increases are a WHO “best buy” intervention, there is a lack of research comparing the scale and distribution across society of health impacts arising from alternative tax and price policy options. The aim of this study is to test whether four common alcohol taxation and pricing strategies differ in their impact on health inequalities. Methods and Findings An econometric epidemiological model was built with England 2014/2015 as the setting. Four pricing strategies implemented on top of the current tax were equalised to give the same 4.3% population-wide reduction in total alcohol-related mortality: current tax increase, a 13.4% all-product duty increase under the current UK system; a value-based tax, a 4.0% ad valorem tax based on product price; a strength-based tax, a volumetric tax of £0.22 per UK alcohol unit (= 8 g of ethanol); and minimum unit pricing, a minimum price threshold of £0.50 per unit, below which alcohol cannot be sold. Model inputs were calculated by combining data from representative household surveys on alcohol purchasing and consumption, administrative and healthcare data on 43 alcohol-attributable diseases, and published price elasticities and relative risk functions. Outcomes were annual per capita consumption, consumer spending, and alcohol-related deaths. Uncertainty was assessed via partial probabilistic sensitivity analysis (PSA) and scenario analysis. The pricing strategies differ as to how effects are distributed across the population, and, from a public health perspective, heavy drinkers in routine/manual occupations are a key group as they are at greatest risk of health harm from their drinking. Strength-based taxation and minimum unit pricing would have greater effects on mortality among drinkers in routine/manual occupations (particularly for heavy drinkers, where the estimated policy effects on

Oil prices and the stock prices of alternative energy companies

International Nuclear Information System (INIS)

Henriques, Irene; Sadorsky, Perry

2008-01-01

Energy security issues coupled with increased concern over the natural environment are driving factors behind oil price movements. While it is widely accepted that rising oil prices are good for the financial performance of alternative energy companies, there has been relatively little statistical work done to measure just how sensitive the financial performance of alternative energy companies are to changes in oil prices. In this paper, a four variable vector autoregression model is developed and estimated in order to investigate the empirical relationship between alternative energy stock prices, technology stock prices, oil prices, and interest rates. Our results show technology stock prices and oil prices each individually Granger cause the stock prices of alternative energy companies. Simulation results show that a shock to technology stock prices has a larger impact on alternative energy stock prices than does a shock to oil prices. These results should be of use to investors, managers and policy makers. (author)

Retail Price Model

Science.gov (United States)

The Retail Price Model is a tool to estimate the average retail electricity prices - under both competitive and regulated market structures - using power sector projections and assumptions from the Energy Information Administration.

Modeling the stock price returns volatility using GARCH(1,1) in some Indonesia stock prices

Science.gov (United States)

Awalludin, S. A.; Ulfah, S.; Soro, S.

2018-01-01

In the financial field, volatility is one of the key variables to make an appropriate decision. Moreover, modeling volatility is needed in derivative pricing, risk management, and portfolio management. For this reason, this study presented a widely used volatility model so-called GARCH(1,1) for estimating the volatility of daily returns of stock prices of Indonesia from July 2007 to September 2015. The returns can be obtained from stock price by differencing log of the price from one day to the next. Parameters of the model were estimated by Maximum Likelihood Estimation. After obtaining the volatility, natural cubic spline was employed to study the behaviour of the volatility over the period. The result shows that GARCH(1,1) indicate evidence of volatility clustering in the returns of some Indonesia stock prices.

International Transfer Pricing in Multinational Enterprises

DEFF Research Database (Denmark)

Rossing, Christian Plesner; Cools, Martine; Rohde, Carsten

2017-01-01

Current curricula in management accounting stress the role of transfer pricing as a tool for measuring the performance of responsibility centers and their managers. Recently, however, multinational enterprises (MNEs) have felt increasing pressure to comply with transfer pricing tax regulation...... of responsibility accounting. Specifically, the case study is a fictional MNE, allowing you to apply the OECD Guidelines in practice to cross-border transfers within an MNE, and to discuss the implications of tax-based transfer pricing for responsibility accounting. As a basis for working on the case study....... As a result, tax risk management considerations play a key role in the transfer pricing decisions of MNEs today. This case seeks to provide you with examples of the core principles of international transfer pricing, as well as to allow you to discuss international transfer pricing in the context...

Key transfer pricing issues arising from the transfer of an ongoing concern : A comparison between the OECD TP Guidelines and the German and the U.S. legislations

OpenAIRE

Sjöberg, Daniel

2013-01-01

The purpose of this thesis is to analyse and compare the transfer pricing approaches held by the OECD, Germany and the United States when transferring an ongoing concern. The term “ongoing concern” in the OECD Transfer Pricing Guidelines is to be interpreted as very wide and to cover every case where a function is bundled with assets and risks. Even though there is no legal definition of the term , the definition of the OECD can still be said to represent the common definition of the term. Wh...

Robust estimation and forecasting of the long-term seasonal component of electricity spot prices

International Nuclear Information System (INIS)

Nowotarski, Jakub; Tomczyk, Jakub; Weron, Rafał

2013-01-01

We present the results of an extensive study on estimation and forecasting of the long-term seasonal component (LTSC) of electricity spot prices. We consider a battery of over 300 models, including monthly dummies and models based on Fourier or wavelet decomposition combined with linear or exponential decay. We find that the considered wavelet-based models are significantly better in terms of forecasting spot prices up to a year ahead than the commonly used monthly dummies and sine-based models. This result questions the validity and usefulness of stochastic models of spot electricity prices built on the latter two types of LTSC models. - Highlights: • First comprehensive study on the forecasting of the long-term seasonal components • Over 300 models examined, including commonly used and new approaches • Wavelet-based models outperform sine-based and monthly dummy models. • Validity of stochastic models built on sines or monthly dummies is questionable

Estimates of price and income elasticity in Greece. Greek debt crisis transforming cigarettes into a luxury good: an econometric approach.

Science.gov (United States)

Tarantilis, Filippos; Athanasakis, Kostas; Zavras, Dimitris; Vozikis, Athanassios; Kyriopoulos, Ioannis

2015-01-05

During the past decades, smoking prevalence in Greece was estimated to be near or over 40%. Following a sharp fall in cigarette consumption, as shown in current data, our objective is to assess smokers' sensitivity to cigarette price and consumer income changes as well as to project health benefits of an additional tax increase. Cigarette consumption was considered as the dependent variable, with Weighted Average Price as a proxy for cigarette price, gross domestic product as a proxy for consumers' income and dummy variables reflecting smoking restrictions and antismoking campaigns. Values were computed to natural logarithms and regression was performed. Then, four scenarios of tax increase were distinguished in order to calculate potential health benefits. Short-run price elasticity is estimated at -0.441 and short-run income elasticity is estimated at 1.040. Antismoking campaigns were found to have a statistically significant impact on consumption. Results indicate that, depending on the level of tax increase, annual per capita consumption could fall by at least 209.83 cigarettes; tax revenue could rise by more than €0.74 billion, while smokers could be reduced by up to 530 568 and at least 465 smoking-related deaths could be averted. Price elasticity estimates are similar to previous studies in Greece, while income elasticity estimates are far greater. With cigarettes regarded as a luxury good, a great opportunity is presented for decisionmakers to counter smoking. Increased taxation, along with focused antismoking campaigns, law reinforcement (to ensure compliance with smoking bans) and intensive control for smuggling could invoke a massive blow to the tobacco epidemic in Greece. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Field Programmable Gate Array Failure Rate Estimation Guidelines for Launch Vehicle Fault Tree Models

Science.gov (United States)

Al Hassan, Mohammad; Novack, Steven D.; Hatfield, Glen S.; Britton, Paul

2017-01-01

Today's launch vehicles complex electronic and avionic systems heavily utilize the Field Programmable Gate Array (FPGA) integrated circuit (IC). FPGAs are prevalent ICs in communication protocols such as MIL-STD-1553B, and in control signal commands such as in solenoid/servo valves actuations. This paper will demonstrate guidelines to estimate FPGA failure rates for a launch vehicle, the guidelines will account for hardware, firmware, and radiation induced failures. The hardware contribution of the approach accounts for physical failures of the IC, FPGA memory and clock. The firmware portion will provide guidelines on the high level FPGA programming language and ways to account for software/code reliability growth. The radiation portion will provide guidelines on environment susceptibility as well as guidelines on tailoring other launch vehicle programs historical data to a specific launch vehicle.

Option Price Estimates for Water Quality Improvements: A Contingent Valuation Study for the Monongahela River (1985)

Science.gov (United States)

This paper presents the findings from a contingent valuation survey designed to estimate the option price bids for the improved recreation resulting from enhanced water quality in the Pennsylvania portion of the Monongahela River.

Regulation of Pharmaceutical Prices

DEFF Research Database (Denmark)

Kaiser, Ulrich; Mendez, Susan J.; Rønde, Thomas

On April 1, 2005, Denmark changed the way references prices, a main determinant of reimbursements for pharmaceutical purchases, are calculated. The previous reference prices, which were based on average EU prices, were substituted to minimum domestic prices. Novel to the literature, we estimate...... the joint eects of this reform on prices and quantities. Prices decreased more than 26 percent due to the reform, which reduced patient and government expenditures by 3.0 percent and 5.6 percent, respectively, and producer revenues by 5.0 percent. The prices of expensive products decreased more than...

An electricity price model with consideration to load and gas price effects.

Science.gov (United States)

Huang, Min-xiang; Tao, Xiao-hu; Han, Zhen-xiang

2003-01-01

Some characteristics of the electricity load and prices are studied, and the relationship between electricity prices and gas (fuel) prices is analyzed in this paper. Because electricity prices are strongly dependent on load and gas prices, the authors constructed a model for electricity prices based on the effects of these two factors; and used the Geometric Mean Reversion Brownian Motion (GMRBM) model to describe the electricity load process, and a Geometric Brownian Motion(GBM) model to describe the gas prices; deduced the price stochastic process model based on the above load model and gas price model. This paper also presents methods for parameters estimation, and proposes some methods to solve the model.

Transfer pricing rules in EU member states

Directory of Open Access Journals (Sweden)

Veronika Solilová

2010-01-01

Full Text Available One of the important area of international taxes is transfer pricing. Transfer price is a price set by a taxpayer when selling to, buying from, or sharing resources with a related (associated person. The tran­sac­tions between these persons should be assessed at their arm’s length price in according the arm’s length principle – international accepted standard – as the price which would have been agreed between unrelated parties in free market conditions. This paper is focused on the tranfer pricing rules used in particular EU Member States so as if EU Member States apply the arm’s length principle, define the related persons, apply recommendations of the OECD Guidelines, use the transfer pricing methods, require TP Documentation, exercise specific transfer pricing audit or impose specific penalties and apply APAs. Transfer pricing rules should prevent taxpayers from shifting income to related person organized in tax havens or in countries where they enjoy some special tax benefit.

Statistical model for forecasting uranium prices to estimate the nuclear fuel cycle cost

International Nuclear Information System (INIS)

Kim, Sung Ki; Ko, Won Il; Nam, Hyoon; Kim, Chul Min; Chung, Yang Hon; Bang, Sung Sig

2017-01-01

This paper presents a method for forecasting future uranium prices that is used as input data to calculate the uranium cost, which is a rational key cost driver of the nuclear fuel cycle cost. In other words, the statistical autoregressive integrated moving average (ARIMA) model and existing engineering cost estimation method, the so-called escalation rate model, were subjected to a comparative analysis. When the uranium price was forecasted in 2015, the margin of error of the ARIMA model forecasting was calculated and found to be 5.4%, whereas the escalation rate model was found to have a margin of error of 7.32%. Thus, it was verified that the ARIMA model is more suitable than the escalation rate model at decreasing uncertainty in nuclear fuel cycle cost calculation

Statistical model for forecasting uranium prices to estimate the nuclear fuel cycle cost

Energy Technology Data Exchange (ETDEWEB)

Kim, Sung Ki; Ko, Won Il; Nam, Hyoon [Nuclear Fuel Cycle Analysis, Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of); Kim, Chul Min; Chung, Yang Hon; Bang, Sung Sig [Korea Advanced Institute of Science and Technology, Daejeon (Korea, Republic of)

2017-08-15

This paper presents a method for forecasting future uranium prices that is used as input data to calculate the uranium cost, which is a rational key cost driver of the nuclear fuel cycle cost. In other words, the statistical autoregressive integrated moving average (ARIMA) model and existing engineering cost estimation method, the so-called escalation rate model, were subjected to a comparative analysis. When the uranium price was forecasted in 2015, the margin of error of the ARIMA model forecasting was calculated and found to be 5.4%, whereas the escalation rate model was found to have a margin of error of 7.32%. Thus, it was verified that the ARIMA model is more suitable than the escalation rate model at decreasing uncertainty in nuclear fuel cycle cost calculation.

Drug Pricing Reforms

DEFF Research Database (Denmark)

Kaiser, Ulrich; Mendez, Susan J.; Rønde, Thomas

2015-01-01

Reference price systems for prescription drugs have found widespread use as cost containment tools. Under such regulatory regimes, patients co-pay a fraction of the difference between pharmacy retail price of the drug and a reference price. Reference prices are either externally (based on drug...... prices in other countries) or internally (based on domestic drug prices) determined. In a recent study, we analysed the effects of a change from external to internal reference pricing in Denmark in 2005, finding that the reform led to substantial reductions in prices, producer revenues, and expenditures...... for patients and the health insurance system. We also estimated an increase in consumer welfare but the size effect depends on whether or not perceived quality differences between branded and other drugs are taken into account....

FUTURE FOSSIL FUEL PRICE IMPACTS ON NDC ACHIEVEMENT; ESTIMATION OF GHG EMISSIONS AND MITIGATION COSTS

Directory of Open Access Journals (Sweden)

Yosuke Arino

2017-12-01

Full Text Available The Shale Revolution in the US, a supply-side innovation in oil and gas production, has been dramatically changing the world’s fossil fuel energy markets – leading to a decrease in oil, gas and coal prices. Some projections suggest that low fossil fuel prices might continue at least over the next few decades. Uncertainty in fossil fuel prices might affect the levels of emission reductions expected from submitted nationally determined contributions (NDCs and/or influence the difficulty of achieving the NDCs. This paper evaluated the impact of different (high, medium, and low fossil fuel prices, sustained through to 2050, on worldwide GHG emissions reductions and associated costs (mainly marginal abatement costs (MACs. Total global GHG emissions were estimated to be 57.5-61.5 GtCO2eq by 2030, with the range shown reflecting uncertainties about fossil fuel prices and the target levels of several NDCs (i.e., whether their upper or lower targets were adopted. It was found that lower fuel prices not only diminished the environmental effectiveness of global NDCs but also widened regional differences of marginal and total abatement costs, thereby generating more room for carbon leakage. One possible policy direction in terms of abatement efficiency, fairness and environmental effectiveness would be to require countries with low marginal and total abatement costs but having a major influence on global GHG emissions (such as China and India to increase their mitigation efforts, especially in a low-fuelprice world.

Space-time modeling of electricity spot prices

DEFF Research Database (Denmark)

Abate, Girum Dagnachew; Haldrup, Niels

In this paper we derive a space-time model for electricity spot prices. A general spatial Durbin model that incorporates the temporal as well as spatial lags of spot prices is presented. Joint modeling of space-time effects is necessarily important when prices and loads are determined in a network...... in the spot price dynamics. Estimation of the spatial Durbin model show that the spatial lag variable is as important as the temporal lag variable in describing the spot price dynamics. We use the partial derivatives impact approach to decompose the price impacts into direct and indirect effects and we show...... that price effects transmit to neighboring markets and decline with distance. In order to examine the evolution of the spatial correlation over time, a time varying parameters spot price spatial Durbin model is estimated using recursive estimation. It is found that the spatial correlation within the Nord...

Pricing stock options under stochastic volatility and interest rates with efficient method of moments estimation

NARCIS (Netherlands)

Jiang, George J.; Sluis, Pieter J. van der

1999-01-01

While the stochastic volatility (SV) generalization has been shown to improve the explanatory power over the Black-Scholes model, empirical implications of SV models on option pricing have not yet been adequately tested. The purpose of this paper is to first estimate a multivariate SV model using

The Role of Inflation and Price Escalation Adjustments in Properly Estimating Program Costs: F-35 Case Study

Science.gov (United States)

2016-04-30

qÜáêíÉÉåíÜ=^ååì~ä= ^Åèìáëáíáçå=oÉëÉ~êÅÜ= póãéçëáìã= qÜìêëÇ~ó=pÉëëáçåë= sçäìãÉ=ff= = The Role of Inflation and Price Escalation Adjustments in Properly...The Role of Inflation and Price Escalation Adjustments in Properly Estimating Program Costs: F-35 Case Study Stanley Horowitz, Assistant Division...Graduate School of Engineering and Management, Air Force Institute of Technology Cost and Price Collaboration Venkat Rao, Professor, Defense

Price discovery in a continuous-time setting

DEFF Research Database (Denmark)

Dias, Gustavo Fruet; Fernandes, Marcelo; Scherrer, Cristina

We formulate a continuous-time price discovery model in which the price discovery measure varies (stochastically) at daily frequency. We estimate daily measures of price discovery using a kernel-based OLS estimator instead of running separate daily VECM regressions as standard in the literature. We...... show that our estimator is not only consistent, but also outperforms the standard daily VECM in finite samples. We illustrate our theoretical findings by studying the price discovery process of 10 actively traded stocks in the U.S. from 2007 to 2013....

HEDONIC PRICE FUNCTION ESTIMATION FOR MOBILE PHONE IN IRAN

Directory of Open Access Journals (Sweden)

Sayed Mahdi Mostafavi

2013-01-01

Full Text Available The aim of this paper is the survey of mobile price determinants by hedonic model. We have applied the hedonic price model for mobile phone market in Iran in the year of 2008. The brands conclude NOKIA, QTEK, HTC, MOTOROLA, SONY ERICSSON and SAMSUNG that comprise 193 types of handset mobile phone. The results show that in the hedonic function, the maximum amount of parameters of hedonic price function related to the following variables respectively: touch screen, hands free and connectivity tools, and the minimum amount of them are belonged to clarification of monitor images, phone volume and phone memory. Moreover, except Motorola brand the type of brand has not a significant parameter in the hedonic price function.

State energy price and expenditure report, 1995

Energy Technology Data Exchange (ETDEWEB)

NONE

1998-08-01

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the US. The estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1995. Data for all years are available on a CD-ROM and via Internet. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1995, Consumption Estimates (SEDR), published in December 1997. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources.

Estimating Demand and Cross-Price Elasticity for Very Low Nicotine Content (VLNC) Cigarettes Using a Simulated Demand Task.

Science.gov (United States)

Tucker, Megan R; Laugesen, Murray; Grace, Randolph C

2017-03-03

Very Low Nicotine Content (VLNC) cigarettes might be useful as part of a tobacco control strategy, but relatively little is known about their acceptability as substitutes for regular cigarettes. We compared subjective effects and demand for regular cigarettes and Very Low Nicotine Content (VLNC) cigarettes, and estimated cross-price elasticity for VLNC cigarettes, using simulated demand tasks. 40 New Zealand smokers sampled a VLNC cigarette and completed Cigarette Purchase Tasks to indicate their demand for regular cigarettes and VLNC cigarettes at a range of prices, and a cross-price task indicating how many regular cigarettes and VLNC cigarettes they would purchase at 0.5x, 1x, and 2x the current market price for regular cigarettes, assuming the price of VLNC cigarettes remained constant. They also rated the subjective effects of the VLNC cigarette and their usual-brand regular cigarettes. Cross-price elasticity for VLNC cigarettes was estimated as 0.24 and was significantly positive, indicating that VLNC cigarettes are partially substitutable for regular cigarettes. VLNC cigarettes were rated as less satisfying and psychologically rewarding than regular cigarettes, but this was unrelated to demand or substitutability. VLNC cigarettes are potentially substitutable for regular cigarettes. Their availability may reduce tobacco consumption, nicotine intake and addiction; making it easier for smokers to quit. VLNC cigarettes share the behavioural and sensory components of smoking whilst delivering negligible levels of nicotine. Although smokers rated VLNCs as less satisfying than regular cigarettes, smokers said they would increase their consumption of VLNCs as the price of regular cigarettes increased, if VLNCs were available at a lower price. This suggests that VLNCs are partially substitutable for regular cigarettes. VLNCs can be part of an effective tobacco control strategy, by reducing nicotine dependence and improving health and financial outcomes for smokers

Establishing a pricing structure for software products : Case study: Viope Solutions Oy

OpenAIRE

Nguyen, Tram

2013-01-01

This thesis is a case study that explores how to establish a pricing structure for software products. The objective is to provide a guideline to establish a pricing structure for Viope Solutions Oy. A new pricing structure is crucial for the company due to recent changes in its business such as internationalisation and new product launches. The literature review introduces five attributes of a pricing structure. They are the unit definition, price determination, price segmentation, versio...

Who is exposed to gas prices? How gasoline prices affect automobile manufacturers and dealerships

OpenAIRE

Silva-Risso, Jorge; Zettelmeyer, Florian; Busse, Meghan R.; Knittel, Christopher Roland

2016-01-01

Many consumers are keenly aware of gasoline prices, and consumer responses to gasoline prices have been well studied. In this paper, by contrast, we investigate how gasoline prices affect the automobile industry: manufacturers and dealerships. We estimate how changes in gasoline prices affect equilibrium prices and sales of both new and used vehicles of different fuel economies. We investigate the implications of these effects for individual auto manufacturers, taking into account differences...

Who is exposed to gas prices? How gasoline prices affect automobile manufacturers and dealerships

OpenAIRE

Busse, Meghan R.; Kittel, Christopher R.; Zettelmeyer, Florian

2012-01-01

Many consumers are keenly aware of gasoline prices, and consumer responses to gasoline prices have been well studied. In this paper, by contrast, we investigate how gasoline prices affect the automobile industry: manufacturers and dealerships. We estimate how changes in gasoline prices affect equilibrium prices and sales of both new and used vehicles of different fuel economies. We investigate the implications of these effects for individual auto manufacturers, taking into account differences...

Dynamic cyclical comovements of oil prices with industrial production, consumer prices, unemployment, and stock prices

International Nuclear Information System (INIS)

Ewing, Bradley T.; Thompson, Mark A.

2007-01-01

This paper examines the empirical relationship between oil prices and several key macroeconomic variables. In particular, we investigate the cyclical comovements of crude oil prices with output, consumer prices, unemployment, and stock prices. The methodology involves the use of the Hodrick-Prescott [Hodrick, R.J., Prescott, E.C., 1980. Post-War US Business Cycles: An Empirical Investigation. Working Paper, Carnegie Mellon University] and Baxter-King [Baxter, M., King, R.G., 1999. Measuring business cycles: approximate band-pass filters for economic time series. Review of Economics and Statistics 81, 575-593] filters, as well as the recently developed full-sample asymmetric Christiano-Fitzgerald [Christiano, L.J., Fitzgerald, T.J., 2003. The band pass filter. International Economic Review 44, 435-465] band-pass filter. Contemporaneous and cross-correlation estimates are made using the stationary cyclical components of the time series to make inference about the degree to which oil prices move with the cycle. Besides documenting a number of important cyclical relationships using three different time series filtering methods, the results suggest that crude oil prices are procyclical and lag industrial production. Additionally, we find that oil prices lead consumer prices. (author)

Estimating the impact of extreme events on crude oil price. An EMD-based event analysis method

Energy Technology Data Exchange (ETDEWEB)

Zhang, Xun; Wang, Shouyang [Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190 (China); School of Mathematical Sciences, Graduate University of Chinese Academy of Sciences, Beijing 100190 (China); Yu, Lean [Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190 (China); Lai, Kin Keung [Department of Management Sciences, City University of Hong Kong, Tat Chee Avenue, Kowloon (China)

2009-09-15

The impact of extreme events on crude oil markets is of great importance in crude oil price analysis due to the fact that those events generally exert strong impact on crude oil markets. For better estimation of the impact of events on crude oil price volatility, this study attempts to use an EMD-based event analysis approach for this task. In the proposed method, the time series to be analyzed is first decomposed into several intrinsic modes with different time scales from fine-to-coarse and an average trend. The decomposed modes respectively capture the fluctuations caused by the extreme event or other factors during the analyzed period. It is found that the total impact of an extreme event is included in only one or several dominant modes, but the secondary modes provide valuable information on subsequent factors. For overlapping events with influences lasting for different periods, their impacts are separated and located in different modes. For illustration and verification purposes, two extreme events, the Persian Gulf War in 1991 and the Iraq War in 2003, are analyzed step by step. The empirical results reveal that the EMD-based event analysis method provides a feasible solution to estimating the impact of extreme events on crude oil prices variation. (author)

Estimating the impact of extreme events on crude oil price. An EMD-based event analysis method

International Nuclear Information System (INIS)

Zhang, Xun; Wang, Shouyang; Yu, Lean; Lai, Kin Keung

2009-01-01

The impact of extreme events on crude oil markets is of great importance in crude oil price analysis due to the fact that those events generally exert strong impact on crude oil markets. For better estimation of the impact of events on crude oil price volatility, this study attempts to use an EMD-based event analysis approach for this task. In the proposed method, the time series to be analyzed is first decomposed into several intrinsic modes with different time scales from fine-to-coarse and an average trend. The decomposed modes respectively capture the fluctuations caused by the extreme event or other factors during the analyzed period. It is found that the total impact of an extreme event is included in only one or several dominant modes, but the secondary modes provide valuable information on subsequent factors. For overlapping events with influences lasting for different periods, their impacts are separated and located in different modes. For illustration and verification purposes, two extreme events, the Persian Gulf War in 1991 and the Iraq War in 2003, are analyzed step by step. The empirical results reveal that the EMD-based event analysis method provides a feasible solution to estimating the impact of extreme events on crude oil prices variation. (author)

Estimating temporary and permanent stock price innovations on Croatian capital market

Directory of Open Access Journals (Sweden)

Tihana Škrinjarić

2014-03-01

Full Text Available This paper evaluates the size and duration of temporary and permanent stock price innovations on Croatian capital market in the structural VAR (vector autoregression framework with Blanchard and Quah (1989 decomposition. The purpose is to identify the effects of temporary price innovations in order to determine to which extent future stock prices can be predicted. Temporary components present in stock prices are explained throughout the mean-reversion hypothesis. This means that stock prices deviate from the fundamental values, but they will revert to their mean. In that way, to some extent, it is possible to predict future price movements. The results show that for the observed period from January 2000 to September 2013, temporary innovations account for only 2.62% of price variability over a two-year horizon. This means that forecasting the future movements of stock prices on Zagreb Stock Exchange is a difficult task.

Demystifying patient price estimates. The advantages of transparency.

Science.gov (United States)

Kane, Cheri S; Harvey, Gayla

2015-05-01

With the increase of high-deductible health plans, more consumers want to know the cost of their health care before they purchase services. A healthcare organization should formulate transparent price policies that: Fit with its intentions, processes, and goals. Ensure consumers are thoroughly educated about their financial responsibilities. Include the use of consumer pricing tools that help patients feel like empowered consumers. Reflect an enterprisewide culture of transparency.

Cigarette price minimization strategies in the United States: price reductions and responsiveness to excise taxes.

Science.gov (United States)

Pesko, Michael F; Licht, Andrea S; Kruger, Judy M

2013-11-01

Because cigarette price minimization strategies can provide substantial price reductions for individuals continuing their usual smoking behaviors following federal and state cigarette excise tax increases, we examined independent price reductions compensating for overlapping strategies. The possible availability of larger independent price reduction opportunities in states with higher cigarette excise taxes is explored. Regression analysis used the 2006-2007 Tobacco Use Supplement of the Current Population Survey (N = 26,826) to explore national and state-level independent price reductions that smokers obtained from purchasing cigarettes (a) by the carton, (b) in a state with a lower average after-tax cigarette price than in the state of residence, and (c) in "some other way," including online or in another country. Price reductions from these strategies are estimated jointly to compensate for known overlapping strategies. Each strategy reduced the price of cigarettes by 64-94 cents per pack. These price reductions are 9%-22% lower than conventionally estimated results not compensating for overlapping strategies. Price reductions vary substantially by state. Following cigarette excise tax increases, the price reduction available from purchasing cigarettes by cartons increased. Additionally, the price reduction from purchasing cigarettes in a state with a lower average after-tax cigarette price is positively associated with state cigarette excise tax rates and border state cigarette excise tax rate differentials. Findings from this large, nationally representative study of cigarette smokers suggest that price reductions are larger in states with higher cigarette excise taxes, and increase as cigarette excise taxes rise.

Estimating the cost of improving service quality in water supply: A shadow price approach for England and wales.

Science.gov (United States)

Molinos-Senante, María; Maziotis, Alexandros; Sala-Garrido, Ramón

2016-01-01

Service quality to customers is an aspect that cannot be ignored in the performance assessment of water companies. Nowadays water regulators introduce awards or penalties to incentivize companies to improve service quality to customers when setting prices. In this study, the directional distance function is employed to estimate the shadow prices of variables indicating the lack of service quality to customers in the water industry i.e., written complaints, unplanned interruptions and properties below the reference level. To calculate the shadow price of each undesirable output for each water company, it is needed to ascribe a reference price for the desirable output which is the volume of water delivered. An empirical application is carried out for water companies in England and Wales. Hence, the shadow price of each undesirable output is expressed both as a percentage of the price of the desirable output and in pence per cubic meter of water delivered The estimated results indicate that on average, each additional written complaint that needs to be dealt with by the water company includes a service quality cost of 0.399p/m(3). As expected, when looking at the other service quality variables which involve network repair or replacement, these values are considerably higher. On average, the water company must spend an extra 0.622p/m(3) to prevent one unplanned interruption and 0.702p/m(3) to avoid one water pressure below the reference level. The findings of this study are of great importance for regulated companies and regulators as it has been illustrated that improvements in the service quality in terms of customer service could be challenging and therefore ongoing investments will be required to address these issues. Copyright © 2015 Elsevier B.V. All rights reserved.

The role of efficiency estimates in regulatory price reviews: Ofgem's approach to benchmarking electricity networks

International Nuclear Information System (INIS)

Pollitt, Michael

2005-01-01

Electricity regulators around the world make use of efficiency analysis (or benchmarking) to produce estimates of the likely amount of cost reduction which regulated electric utilities can achieve. This short paper examines the use of such efficiency estimates by the UK electricity regulator (Ofgem) within electricity distribution and transmission price reviews. It highlights the place of efficiency analysis within the calculation of X factors. We suggest a number of problems with the current approach and make suggestions for the future development of X factor setting. (author)

Is College Pricing Power Pro-Cyclical?

Science.gov (United States)

Altringer, Levi; Summers, Jeffrey

2015-01-01

We define pricing power as a college's ability to increase its net tuition revenue by raising its sticker-price for tuition. The greater is the positive effect of sticker-price increases on net tuition revenue, the greater is the pricing power. We gauge variation in the pricing power of private, non-profit baccalaureate colleges by estimating this…

Expected commodity returns and pricing models

International Nuclear Information System (INIS)

Cortazar, Gonzalo; Kovacevic, Ivo; Schwartz, Eduardo S.

2015-01-01

Stochastic models of commodity prices have evolved considerably in terms of their structure and the number and interpretation of the state variables that model the underlying risk. Using multiple factors, different specifications and modern estimation techniques, these models have gained wide acceptance because of their success in accurately fitting the observed commodity futures' term structures and their dynamics. It is not well emphasized however that these models, in addition to providing the risk neutral distribution of future spot prices, also provide their true distribution. While the parameters of the risk neutral distribution are estimated more precisely and are usually statistically significant, some of the parameters of the true distribution are typically measured with large errors and are statistically insignificant. In this paper we argue that to increase the reliability of commodity pricing models, and therefore their use by practitioners, some of their parameters — in particular the risk premium parameters — should be obtained from other sources and we show that this can be done without losing any precision in the pricing of futures contracts. We show how the risk premium parameters can be obtained from estimations of expected futures returns and provide alternative procedures for estimating these expected futures returns. - Highlights: • Simple methodology to improve the performance of commodity pricing models • New information about commodity futures expected return is added to the estimation. • No significant effect in pricing futures contracts is observed. • More reliable commodity pricing model's expected returns are obtained. • Methodology is open to any expected futures return model preferred by practitioner

Ramsey prices in the Italian electricity market

International Nuclear Information System (INIS)

Bigerna, Simona; Bollino, Carlo Andrea

2016-01-01

In this paper, we derive optimal zonal prices in the Italian day-ahead electricity market using estimation of a complete system of hourly demand in 2010–2011. In Italy, the hourly equilibrium price for all buyers is computed as a uniform average of supply zonal prices, resulting from market splitting due to line congestion. We model ex-ante individual bids expressed by heterogeneous consumers, which are distinguished by geographical zones. Using empirical estimations, we compute demand elasticity values and new zonal prices, according to a Ramsey optimal scheme. This is a new approach in the wholesale electricity market literature, as previous studies have discussed the relative merit of zonal prices, considering only the issue of line congestion. Our results show that the optimal pricing scheme can improve welfare in the day-ahead Italian electricity market, with respect to both the existing uniform price scheme and the proposal to charge the existing supply zonal prices to the demand side. - Highlights: • We model and estimate the demand of heterogeneous buyers in the electricity market. • Transmission line congestion creates welfare distortions in the market. • We derive optimal Ramsey prices in the Italian day-ahead electricity market. • We compare optimal prices with historical ones showing how to improve welfare.

The impact of electricity price changes on industrial prices and the general price level in Korea

International Nuclear Information System (INIS)

Lim, Seul-Ye; Yoo, Seung-Hoon

2013-01-01

Electricity has played an important role in the economic development of Korea and, thus, has become a critical factor in sustaining the well-being of the Korean people. This study attempts to investigate the impact of electricity price changes on industrial prices and the general price level using input–output (I–O) analysis. To this end, we apply the I–O price model to the 2011 I–O table recently produced by the Bank of Korea, paying particular attention to the electricity sector by considering it as exogenous and then investigating its impacts. The impacts of the electricity price changes on each industrial sector's prices and the general price level are quantitatively derived. For example, the overall impact of a 10% increase in electricity price on the Korean national economy is estimated to be 0.4367%. We also report the results from the model with the electricity sector endogenous and the model with endogenous electricity and labor sectors. This information can be usefully utilized in decision-making regarding price management for electricity. - Highlights: • We investigate the impact of electricity price changes on the Korean economy. • We use the input–output (I–O) analysis specifying the electricity sector as exogenous. • We apply the I–O price model to 2010 I–O table produced by the Bank of Korea. • The impact of a 10% increase in electricity price on the Korean economy is 0.2176%

Drilling rates and expected oil prices: The own price elasticity of US oil supply

International Nuclear Information System (INIS)

Kaufmann, R.K.; Gruen, W.; Montesi, R.

1994-01-01

This paper evaluates the feasibility of policies to increase exploration and development by the oil industry. To do so, the authors estimate a new model for well completions in the United States that includes the effect of price expectations from survey data, that separates exploratory from development wells, and that uses a deflator based on the cost of drilling a well. The regression results indicate that the price elasticity of drilling is considerably smaller than previous estimates. When combined with recent analyses of drilling success, the results indicate that the own price elasticity of US oil supply is relatively small. The low price elasticity of supply indicates that efforts to increase domestic oil supplies by increasing well completions may be more expensive than believed previously

Do Daily Retail Gasoline Prices adjust Asymmetrically?

Energy Technology Data Exchange (ETDEWEB)

Bettendorf, L. [Tinbergen Instituut, Amsterdam/Rotterdam (Netherlands); Van der Geest, S. [Erasmus Universiteit, Rotterdam (Netherlands); Kuper, G. [University of Groningen, Groningen (Netherlands)

2005-04-15

This paper analyzes adjustments in the Dutch retail gasoline prices. We estimate an error correction model on changes in the daily retail price for gasoline (taxes excluded) for the period 1996-2004 taking care of volatility clustering by estimating an EGARCH model. It turns out the volatility process is asymmetrical: an unexpected increase in the producer price has a larger effect on the variance of the producer price than an unexpected decrease. We do not find strong evidence for amount asymmetry. However, there is a faster reaction to upward changes in spot prices than to downward changes in spot prices. This implies timing or pattern asymmetry. This asymmetry starts three days after the change in the spot price and lasts for four days.

Modeling HIV/AIDS drug price determinants in Brazil: is generic competition a myth?

Science.gov (United States)

Meiners, Constance; Sagaon-Teyssier, Luis; Hasenclever, Lia; Moatti, Jean-Paul

2011-01-01

Brazil became the first developing country to guarantee free and universal access to HIV/AIDS treatment, with antiretroviral drugs (ARVs) being delivered to nearly 190,000 patients. The analysis of ARV price evolution and market dynamics in Brazil can help anticipate issues soon to afflict other developing countries, as the 2010 revision of the World Health Organization guidelines shifts demand towards more expensive treatments, and, at the same time, current evolution of international legislation and trade agreements on intellectual property rights may reduce availability of generic drugs for HIV care. Our analyses are based on effective prices paid for ARV procurement in Brazil between 1996 and 2009. Data panel structure was exploited to gather ex-ante and ex-post information and address various sources of statistical bias. In-difference estimation offered in-depth information on ARV market characteristics which significantly influence prices. Although overall ARV prices follow a declining trend, changing characteristics in the generic segment help explain recent increase in generic ARV prices. Our results show that generic suppliers are more likely to respond to factors influencing demand size and market competition, while originator suppliers tend to set prices strategically to offset compulsory licensing threats and generic competition. In order to guarantee the long term sustainability of access to antiretroviral treatment, our findings highlight the importance of preserving and stimulating generic market dynamics to sustain developing countries' bargaining power in price negotiations undertaken with originator companies.

Modeling HIV/AIDS drug price determinants in Brazil: is generic competition a myth?

Directory of Open Access Journals (Sweden)

Constance Meiners

Full Text Available BACKGROUND: Brazil became the first developing country to guarantee free and universal access to HIV/AIDS treatment, with antiretroviral drugs (ARVs being delivered to nearly 190,000 patients. The analysis of ARV price evolution and market dynamics in Brazil can help anticipate issues soon to afflict other developing countries, as the 2010 revision of the World Health Organization guidelines shifts demand towards more expensive treatments, and, at the same time, current evolution of international legislation and trade agreements on intellectual property rights may reduce availability of generic drugs for HIV care. METHODS AND FINDINGS: Our analyses are based on effective prices paid for ARV procurement in Brazil between 1996 and 2009. Data panel structure was exploited to gather ex-ante and ex-post information and address various sources of statistical bias. In-difference estimation offered in-depth information on ARV market characteristics which significantly influence prices. Although overall ARV prices follow a declining trend, changing characteristics in the generic segment help explain recent increase in generic ARV prices. Our results show that generic suppliers are more likely to respond to factors influencing demand size and market competition, while originator suppliers tend to set prices strategically to offset compulsory licensing threats and generic competition. SIGNIFICANCE: In order to guarantee the long term sustainability of access to antiretroviral treatment, our findings highlight the importance of preserving and stimulating generic market dynamics to sustain developing countries' bargaining power in price negotiations undertaken with originator companies.

Modelling the impact of oil prices on Vietnam's stock prices

International Nuclear Information System (INIS)

Narayan, Paresh Kumar; Narayan, Seema

2010-01-01

The goal of this paper is to model the impact of oil prices on Vietnam's stock prices. We use daily data for the period 2000-2008 and include the nominal exchange rate as an additional determinant of stock prices. We find that stock prices, oil prices and nominal exchange rates are cointegrated, and oil prices have a positive and statistically significant impact on stock prices. This result is inconsistent with theoretical expectations. The growth of the Vietnamese stock market was accompanied by rising oil prices. However, the boom of the stock market was marked by increasing foreign portfolio investment inflows which are estimated to have doubled from US$0.9 billion in 2005 to US$1.9 billion in 2006. There was also a change in preferences from holding foreign currencies and domestic bank deposits to stocks local market participants, and there was a rise in leveraged investment in stock as well as investments on behalf of relatives living abroad. It seems that the impact of these internal and domestic factors were more dominant than the oil price rise on the Vietnamese stock market. (author)

Guidelines For Evaluation Of Natural Gas Projects

International Nuclear Information System (INIS)

Farag, H.; El Messirie, A.

2004-01-01

This paper is objected to give guidelines for natural gas projects appraisal These guidelines are summarized in modeling of natural gas demand forecast and energy pricing policies for different gas consumers mainly in the manufacturing, mining, transport, trade and agriculture sectors. Analysis of the results is made through sensitivity analysis and decision support system ( DSS )

Price performance following stock's IPO in different price limit systems

Science.gov (United States)

Wu, Ting; Wang, Yue; Li, Ming-Xia

2018-01-01

An IPO burst occurred in China's stock markets in 2015, while price limit trading rules usually help to reduce the short-term trading mania on individual stocks. It is interesting to make clear the function of the price limits after IPOs. We firstly make a statistical analysis based on all the IPO stocks listed from 1990 to 2015. A high dependency exists between the activities in stock's IPO and various market environment. We also focus on the price dynamics in the first 40 trading days after the stock listed. We find that price limit system will delay the price movement, especially for the up-trend movements, which may lead to longer continuous price limit hits. Similar to our previous work, many results such as ;W; shape can be also observed in the future daily return after the price limit open. At last, we find most IPO measures show evident correlations with the following price limit hits. IPO stocks with lower first-day turnover and earning per share will be followed with a longer continuous price limit hits and lower future daily return under the newest trading rules, which give us a good way to estimate the occurrence of price limit hits and the following price dynamics. Our analysis provides a better understanding of the price dynamics after IPO events and offers potential practical values for investors.

The impact of food prices on consumption: a systematic review of research on the price elasticity of demand for food.

Science.gov (United States)

Andreyeva, Tatiana; Long, Michael W; Brownell, Kelly D

2010-02-01

In light of proposals to improve diets by shifting food prices, it is important to understand how price changes affect demand for various foods. We reviewed 160 studies on the price elasticity of demand for major food categories to assess mean elasticities by food category and variations in estimates by study design. Price elasticities for foods and nonalcoholic beverages ranged from 0.27 to 0.81 (absolute values), with food away from home, soft drinks, juice, and meats being most responsive to price changes (0.7-0.8). As an example, a 10% increase in soft drink prices should reduce consumption by 8% to 10%. Studies estimating price effects on substitutions from unhealthy to healthy food and price responsiveness among at-risk populations are particularly needed.

Timber Price Dynamics Following a Natural Catastrophe

OpenAIRE

Jeffrey P. Prestemon; Thomas P. Holmes

2000-01-01

Catastrophic shocks to existing stocks of a renewable resource can cause long-run price shifts. With timber, these long-run price shifts may be accompanied by a short-run price drop due to salvage. Hurricane Hugo damaged 20% of southern pine timber in the South Carolina Coastal Plain in 1989. To estimate the short- and long-run effects of the hurricane on the prices of timber stocks, we estimated an intervention model of the residuals of cointegration of South Carolina sawtimber and pulpwood ...

THE CORN-EGG PRICE TRANSMISSION MECHANISM

OpenAIRE

Babula, Ronald A.; Bessler, David A.

1990-01-01

A vector autoregression (VAR) model of corn, farm egg, and retail egg prices is estimated and shocked with a corn price increase. Impulse responses in egg prices, t-statistics for the impulse responses, and decompositions of forecast error variance are presented. Analyses of results provide insights on the corn/egg price transmission mechanism and on how corn price shocks pulsate through the egg-related economy.

Do consumers really know if the price is right ? Direct measures of references price are their implications for retailing

OpenAIRE

VANHUELE, Marc; DREZE, Xavier

2000-01-01

Reference price research suggest that consumers memorize and recall price information when selecting brands for frequently purchased products. In this study, we show that previous price-knowledge surveys provided imperfect estimates of reference price. Further, we propose to use a combination of price recall, price recognition, and deal recognition to measure representations to memorize prices. In addition we identify consumer and product characteristics that explain the variations in price k...

Cost and price estimate of Brayton and Stirling engines in selected production volumes

Science.gov (United States)

Fortgang, H. R.; Mayers, H. F.

1980-01-01

The methods used to determine the production costs and required selling price of Brayton and Stirling engines modified for use in solar power conversion units are presented. Each engine part, component and assembly was examined and evaluated to determine the costs of its material and the method of manufacture based on specific annual production volumes. Cost estimates are presented for both the Stirling and Brayton engines in annual production volumes of 1,000, 25,000, 100,000 and 400,000. At annual production volumes above 50,000 units, the costs of both engines are similar, although the Stirling engine costs are somewhat lower. It is concluded that modifications to both the Brayton and Stirling engine designs could reduce the estimated costs.

Estimation of Iranian price elasticities of residential electricity demand

Directory of Open Access Journals (Sweden)

Yeganeh Mousavi Jahromi

2014-06-01

Full Text Available This paper presents a study to determine demand for electricity in city of Yazd, Iran over the period of 1998-2008. Using vector error correction model (VECM based on seasonal information, the study determines that electricity has no elasticity in short term in household expenditure. Therefore, government policy on increasing price of electricity will not influence demand. However, electricity maintains elasticity over the long-term period and an increase on price of electricity could motivate consumers to reduce their consumption by purchasing energy efficient facilities. Therefore, any governmental strategy to increase price may have positive impact on economy. The study also detects a positive and meaningful relationship between temperature and electricity consumption.

[International reference prices and cost minimization analysis for the regulation of medicine prices in Colombia].

Science.gov (United States)

Vacca, Caludia; Acosta, Angela; Rodriguez, Ivan

2011-01-01

To suggest a scheme of decision making on pricing for medicines that are part of Free Regulated Regime, a regulation way of the pharmaceutical pricing policy in Colombia. It includes two regulation tools: international reference prices and a cost minimization analysis methodology. Following the current pricing policy, international reference prices were built with data from five countries for selected medicines, which are under Free Regulated Regime. The cost minimization analysis methodology includes selection of those medicines under Free Regulated Regime with possible comparable medicines, selection of comparable medicines, and treatment costs evaluation. As a result of the estimate of International Reference Prices, four medicines showed in the domestic pharmaceutical market a bigger price than the Reference Price. A scheme of decision-making was design containing two possible regulation tools for medicines that are part of Free Regulated Regime: estimate of international reference prices and cost minimization analysis methodology. This diagram would be useful to assist the pricing regulation of Free Regulated Regime in Colombia. As present results shows, international reference prices make clear when domestic prices are higher than those of reference countries. In the current regulation of pharmaceutical prices in Colombia, the international reference price has been applied for four medicines. Would be suitable to extend this methodology to other medicines of high impact on the pharmaceutical expenditure, in particular those covered by public funding. The availability of primary sources about treatment costs in Colombia needs to be improved as a requirement to develop pharmaco-economic evidence. SISMED is an official database that represents an important primary source of medicines prices in Colombia. Nevertheless, having into account that SISMED represents an important advantage of transparency in medicines prices, it needs to be improved in quality and data

HEDONIC ESTIMATION OF HOUSING MARKET PRICES IN TURKEY

OpenAIRE

YAYAR, Rüştü; DEMİR, Derya

2015-01-01

In this study, there has been aimed to determine the factors that affect the price of flats in the housing sector in Turkey with a hedonic pricing model. According to the model results, the house’s having residential swimming pool, a jacuzzi and a water tank, its being a duplex, its central heating system, its being closer to the center, the size of the house, the bathroom floor’s being vinyl or PVC, being closer to banking services and compulsory education services,  its having  cable TV, te...

The impact of category prices on store price image formation : An empirical analysis

NARCIS (Netherlands)

Da Silva Lourenço, C.J.; Gijsbrechts, E.; Paap, R.

2015-01-01

The authors empirically explore how consumers update beliefs about a store's overall expensiveness. They estimate a learning model of store price image (SPI) formation with the impact of actual prices linked to category characteristics, on a unique dataset combining store visit and purchase

Regulation of Pharmaceutical Prices

DEFF Research Database (Denmark)

Kaiser, Ulrich; Méndez, Susan J.; Rønde, Thomas

2014-01-01

Reference prices constitute a main determinant of patient health care reimbursement in many countries. We study the effects of a change from an "external" (based on a basket of prices in other countries) to an "internal" (based on comparable domestic products) reference price system. We find...... that while our estimated consumer compensating variation is small, the reform led to substantial reductions in list and reference prices as well as co-payments, and to sizeable decreases in overall producer revenues, health care expenditures, and co-payments. These effects differ markedly between branded...

Regulation of Pharmaceutical Prices

DEFF Research Database (Denmark)

Kaiser, Ulrich; Méndez, Susan J.; Rønde, Thomas

Reference prices constitute a main determinant of patient health care reimbursement in many countries. We study the effects of a change from an "external" (based on a basket of prices in other countries) to an "internal" (based on comparable domestic products) reference price system. We find...... that while our estimated consumer compensating variation is small, the reform led to substantial reductions in list and reference prices as well as co-payments, and to sizeable decreases in overall producer revenues, health care expenditures, and co-payments. These effects differ markedly between branded...

Poverty and price transmission

DEFF Research Database (Denmark)

Elleby, Christian

A key parameter determining the welfare impact from a world market shock is the transmission elasticity which measures the average domestic response to an international price change. Many studies have estimated price transmission elasticities for a large number of countries but the variation in t...

Analysis of commodity prices with the particle filter

International Nuclear Information System (INIS)

Aiube, Fernando Antonio Lucena; Baidya, Tara Keshar Nanda; Tito, Edison Americo Huarsaya

2008-01-01

The behavior of commodities prices is fundamental to real-asset investment decisions, hedging, and pricing financial derivatives. Schwartz and Smith [Schwartz, E.S., Smith, J.E. (2000). Short term-variations and long-term dynamics in commodity prices. Management Science, 46, 893-911.] proposed a two-factor model for describing the stochastic processes of commodity prices, in which the two factors are short-term variations and equilibrium prices. These are both unobserved state variables that are estimated using the Kalman filter. The estimation is based on the observation of future prices for different maturities. The authors have carried out this process without incorporating jumps in the short-term variation of prices. Here we aim to demonstrate that the inclusion of jumps better explains the behavior of oil prices, and in fact creates difficulties in the estimation of state variables. This is because the variables become non-Gaussian so the Kalman filter is not recommended. Another methodology, called the particle filter, is more suitable in this case, and we describe its application in this article

The price elasticity of electricity demand in South Australia

International Nuclear Information System (INIS)

Fan Shu; Hyndman, Rob J.

2011-01-01

In this paper, the price elasticity of electricity demand, representing the sensitivity of customer demand to the price of electricity, has been estimated for South Australia. We first undertake a review of the scholarly literature regarding electricity price elasticity for different regions and systems. Then we perform an empirical evaluation of the historic South Australian price elasticity, focussing on the relationship between price and demand quantiles at each half-hour of the day. This work attempts to determine whether there is any variation in price sensitivity with the time of day or quantile, and to estimate the form of any relationships that might exist in South Australia. - Highlights: → We review the scholarly literature on electricity own-price elasticity for different regions and systems. → We use annual log-linear econometric models of the electricity demand to estimate the historic South Australian price elasticity. → We focus on the relationship between price and demand quantiles at each half-hour of the day. → The overall price elasticity in South Australia ranges from -0.363 to -0.428.

Freemium Pricing

DEFF Research Database (Denmark)

Runge, Julian; Wagner, Stefan; Claussen, Jörg

Firms commonly run field experiments to improve their freemium pricing schemes. However, they often lack a framework for analysis that goes beyond directly measurable outcomes and focuses on longer term profit. We aim to fill this gap by structuring existing knowledge on freemium pricing...... into a stylized framework. We apply the proposed framework in the analysis of a field experiment that contrasts three variations of a freemium pricing scheme and comprises about 300,000 users of a software application. Our findings indicate that a reduction of free product features increases conversion as well...... as viral activity, but reduces usage – which is in line with the framework’s predictions. Additional back-of-the-envelope profit estimations suggest that managers were overly optimistic about positive externalities from usage and viral activity in their choice of pricing scheme, leading them to give too...

Guidelines for economic analysis of pharmaceutical products: a draft document for Ontario and Canada.

Science.gov (United States)

Detsky, A S

1993-05-01

In Canada, provincial formulary review committees consider the effectiveness, safety, and cost of products when they derive advice for each Minister of Health. This article offers a draft set of guidelines for pharmaceutical manufacturers making submissions which include economic information, moving beyond a simple presentation of the unit price of the pharmaceutical product (e.g. price per day or course of therapy) and comparison to similar prices for alternative products. A full economic analysis compares all relevant costs and clinical outcomes of the new product with alternate therapeutic strategies for treating patients with a particular condition. The perspective of the decision maker must be clearly identified. The quality of the evidence supporting estimates of the variables incorporated in the analysis should be evaluated. Sensitivity analyses are used to assess the robustness of the qualitative conclusions. Reviewers will examine the answers to a set of 19 questions. Manufacturers can use these questions as a worksheet for preparation of an economic analysis to be incorporated in a submission. These guidelines are intended to be a starting point for further refinement, and discussion with health economists in industry and academia. Considerable flexibility will be used in reviewing documentation supporting economic analysis. Those preparing submissions should be encouraged to experiment with various approaches as part of the general development of this field and to engage provincial review committees in ongoing discussions.

Potential impacts of electricity price changes on price formation in the economy: a social accounting matrix price modeling analysis for Turkey

International Nuclear Information System (INIS)

Akkemik, K. Ali

2011-01-01

Recent reforms in the Turkish electricity sector since 2001 aim to introduce a tariff system that reflects costs. This is expected to affect the production and consumer prices of electricity. The changes in electricity prices are then reflected in production costs in other segments of the economy. Subsequently, producer and consumer prices will be affected. The potential impact of the changes in electricity prices that the ongoing electricity reforms in Turkey will bring about may have important implications on the price formation in economic activities and the cost of living for households. This paper evaluates the potential impacts of changes in electricity prices from a social accounting matrix (SAM) price modeling perspective. It is found that based on the estimated price multipliers that prices in the energy-producing sectors, mining, and iron and steel manufacturing sectors would be affected more severely than the remaining sectors of the economy. Consumer prices are affected slightly less than producer prices. - Research Highlights: → The impact of electricity generation costs on prices in other sectors is modeled. → A micro-SAM emphasizing electricity supply is constructed using 2002 I-O tables. → Energy, mining, and steel sectors are more responsive to electricity costs. → Living costs are less responsive to electricity cost changes than producer prices.

CONFLICT OF INTERESTS IN TRANSFER PRICING

Directory of Open Access Journals (Sweden)

M. Osvald

2014-09-01

Full Text Available In the conditions of globalization all the companies try to find the effective ways of maximizing their profit. One of the instruments is the system of the transfer pricing that helps to optimize the costs and allocate effective the resources of the company. Transfer pricing has detrimental effect on the economy of countries, though the governments use the regulations to minimize this effect on their economy. In this case the conflict of interests appears. Paper deals with an analysis of the functions and reasons of the economic agents which use the transfer prices to demonstrate the conflict of interests in transfer pricing. The purpose of the study is the determination of the best ways to solve the conflict situations in the process of transfer pricing according to the economic interests of the agents: company and government and within the company: headquarters and subsidiaries. The main point of resolving the conflict between company and government is to make clear regulations of transfer pricing for enterprises and productive relations between company and government. The methods to resolve the conflict within the company are: clear guidelines, decentralization and motivation for stuff members.

Estimation of several political action effects of energy prices

Directory of Open Access Journals (Sweden)

Andrew B. Whitford

2016-01-01

Full Text Available One important effect of price shocks in the United States has been increased political attention paid to the structure and performance of oil and natural gas markets, along with some governmental support for energy conservation. This article describes how price changes helped lead to the emergence of a political agenda accompanied by several interventions, as revealed through Granger causality tests on change in the legislative agenda.

Regional Price Levels in the Czech Republic

Directory of Open Access Journals (Sweden)

Petr Musil

2017-06-01

Full Text Available International comparison belongs to statistical topics which attracts either experts or general public. Official statistics provides estimates of national price levels only. Therefore, official regional analysis is based on national price levels and does not take into account potential differences in prices among regions within a country. Fortunately, researchers have been dealing with them and estimates for several countries are available. The topic is also important in the Czech Republic even two papers focused on regional price levels were published in Statistika journal in 2016. The aim of the paper is to compare both approaches from various perspectives.

New product pricing

International Nuclear Information System (INIS)

Wilkinson, V.K.

1981-01-01

One of the most uncertain elements in budget planning is estimating production costs of items that have heretofore only been produced in prototype configurations and quantities. This paper examines the design and development of a mathematical model which computes appropriate prices for new and unique products. The resulting model offers a producer a fair return on his investment and the consumer a fair purchase price

Implementation phase - future price movements guidelines for a new tariff system

International Nuclear Information System (INIS)

Mozina, J.

1996-01-01

Natural gas reserves in Slovenia are negligible and, therefore, almost all natural gas has to be imported. The natural gas sources are geographically far from Slovenia, and this fact has a great impact first on costs for providing natural gas, and second, on the possibilities to adjust natural gas prices with other alternative and competitive fuels. Countries that are geographically closer to natural gas sources have lower fixed costs in providing natural gas, while in the case of Slovenia fixed costs could exceed half of total costs. Therefore, those countries may have an essentially different market attitude and behaviour. In Slovenia, there are two levels of supplying customers with the natural gas, i.e.: (a) supplies through the Slovenian natural gas pipeline system to industry and distribution companies; (b) supplies through local distribution networks to households, commercial customers and minor industrial customers. With regard to certain differences existing between those two levels, each level has been using a specific system of setting natural gas price as well as a particular tariff system. This paper refers only to supplying the level mentioned under point a. The new tariff system needs to consider first of all the modes of the natural gas use and possibilities of alternative fuels use. On this basis it shall define competitive conditions, convenient for supplying the natural gas to all categories of customers. The system is going to be introduced in several steps so that all necessary and unavoidable changes shall be gradually implemented. A complete introduction of the new, and to the energy market better adjusted tariff system, depends on a simultaneous introduction of fiscal changes. Due to the great dependence of the introduction of the new tariff system on the appropriate fiscal and tax energy regime, the time necessary for a full introduction may vary. We estimate that the tariff system could be fully introduced in about two-year period, once it

A framework for the assessment of the oil price

International Nuclear Information System (INIS)

Oliveira, A. de; Guimaraes Lodi, C.F.

1994-01-01

There is a wide diversity of interpretations in the literature about the mechanisms that govern oil prices. None of them has been able to produce reasonable price forecasts. Estimates of future oil prices, or at least of a range of prices, are essential for policy-making. A better understanding of the interplay of the forces that affect oil prices is absolutely necessary. This paper aims to offer a contribution to the improvement of this understanding. It suggests a rational analytical framework to estimate the future price of oil, based on the objectives and policies of the major players in the oil market. (author)

Do Daily Retail Gasoline Prices adjust Asymmetrically?

NARCIS (Netherlands)

L.J.H. Bettendorf (Leon); S.A. van der Geest (Stéphanie); G. Kuper

2005-01-01

textabstractThis paper analyzes adjustments in the Dutch retail gasoline prices. We estimate an error correction model on changes in the daily retail price for gasoline (taxes excluded) for the period 1996-2004 taking care of volatility clustering by estimating an EGARCH model. It turns out the

APPLYING ARTIFICIAL NEURAL NETWORK OPTIMIZED BY FIREWORKS ALGORITHM FOR STOCK PRICE ESTIMATION

Directory of Open Access Journals (Sweden)

Khuat Thanh Tung

2016-04-01

Full Text Available Stock prediction is to determine the future value of a company stock dealt on an exchange. It plays a crucial role to raise the profit gained by firms and investors. Over the past few years, many methods have been developed in which plenty of efforts focus on the machine learning framework achieving the promising results. In this paper, an approach based on Artificial Neural Network (ANN optimized by Fireworks algorithm and data preprocessing by Haar Wavelet is applied to estimate the stock prices. The system was trained and tested with real data of various companies collected from Yahoo Finance. The obtained results are encouraging.

A Possible Method for Warning of House Price Bubble

Directory of Open Access Journals (Sweden)

Anthony Yanxiang Gu

2013-07-01

Full Text Available Metropolitan areas that had the most house price inflation between 1998 and 2006 and the highest price to income ratios are characterized by strong income growth and high population density. Areas with the highest price to income ratios in 2006 and lowest population density suffered the largest percentage price declines after the bubble burst. An equation is established for estimating warning level against house price bubble, and the estimated warning could leave 19 percent room and more than two years of time for action.

Modelling the impact of oil prices on Vietnam's stock prices

Energy Technology Data Exchange (ETDEWEB)

Narayan, Paresh Kumar [School of Accounting, Economics and Finance, Deakin University, Victoria 3125 (Australia); Narayan, Seema [School of Economics, Finance and Marketing, Royal Melbourne Institute of Technology University, Melbourne (Australia)

2010-01-15

The goal of this paper is to model the impact of oil prices on Vietnam's stock prices. We use daily data for the period 2000-2008 and include the nominal exchange rate as an additional determinant of stock prices. We find that stock prices, oil prices and nominal exchange rates are cointegrated, and oil prices have a positive and statistically significant impact on stock prices. This result is inconsistent with theoretical expectations. The growth of the Vietnamese stock market was accompanied by rising oil prices. However, the boom of the stock market was marked by increasing foreign portfolio investment inflows which are estimated to have doubled from US$0.9 billion in 2005 to US$1.9 billion in 2006. There was also a change in preferences from holding foreign currencies and domestic bank deposits to stocks local market participants, and there was a rise in leveraged investment in stock as well as investments on behalf of relatives living abroad. It seems that the impact of these internal and domestic factors were more dominant than the oil price rise on the Vietnamese stock market. (author)

How policies affect international biofuel price linkages

International Nuclear Information System (INIS)

Rajcaniova, Miroslava; Drabik, Dusan; Ciaian, Pavel

2013-01-01

We estimate the role of biofuel policies in determining which country is the price leader in world biofuel markets using a cointegration analysis and a Vector Error Correction (VEC) model. Weekly prices are analyzed for the EU, US, and Brazilian ethanol and biodiesel markets in the 2002–2010 and 2005–2010 time periods, respectively. The US blender's tax credit and Brazil's consumer tax exemption are found to play a role in determining the ethanol prices in other countries. For biodiesel, our results demonstrate that EU policies – the consumer tax exemption and blending target – tend to determine the world biodiesel price. - Highlights: • We estimate the role of biofuel policies in determining biofuel prices. • We use a cointegration analysis and the Vector Error Correction (VEC) model. • The biofuel policies in US and Brazil determine the world ethanol prices. • EU biofuel policies tend to form the world biodiesel price

Do daily retail gasoline prices adjust asymmetrically?

NARCIS (Netherlands)

Bettendorf, L.; van der Geest, S. A.; Kuper, G. H.

2009-01-01

This paper analyses adjustments in the Dutch retail gasoline prices. We estimate an error correction model on changes in the daily retail price for gasoline (taxes excluded) for the period 1996-2004, taking care of volatility clustering by estimating an EGARCH model. It turns out that the volatility

Development of an evolutionary fuzzy expert system for estimating future behavior of stock price

Science.gov (United States)

Mehmanpazir, Farhad; Asadi, Shahrokh

2017-03-01

The stock market has always been an attractive area for researchers since no method has been found yet to predict the stock price behavior precisely. Due to its high rate of uncertainty and volatility, it carries a higher risk than any other investment area, thus the stock price behavior is difficult to simulation. This paper presents a "data mining-based evolutionary fuzzy expert system" (DEFES) approach to estimate the behavior of stock price. This tool is developed in seven-stage architecture. Data mining is used in three stages to reduce the complexity of the whole data space. The first stage, noise filtering, is used to make our raw data clean and smooth. Variable selection is second stage; we use stepwise regression analysis to choose the key variables been considered in the model. In the third stage, K-means is used to divide the data into sub-populations to decrease the effects of noise and rebate complexity of the patterns. At next stage, extraction of Mamdani type fuzzy rule-based system will be carried out for each cluster by means of genetic algorithm and evolutionary strategy. In the fifth stage, we use binary genetic algorithm to rule filtering to remove the redundant rules in order to solve over learning phenomenon. In the sixth stage, we utilize the genetic tuning process to slightly adjust the shape of the membership functions. Last stage is the testing performance of tool and adjusts parameters. This is the first study on using an approximate fuzzy rule base system and evolutionary strategy with the ability of extracting the whole knowledge base of fuzzy expert system for stock price forecasting problems. The superiority and applicability of DEFES are shown for International Business Machines Corporation and compared the outcome with the results of the other methods. Results with MAPE metric and Wilcoxon signed ranks test indicate that DEFES provides more accuracy and outperforms all previous methods, so it can be considered as a superior tool for

Location, location, location: Extracting location value from house prices

OpenAIRE

Kolbe, Jens; Schulz, Rainer; Wersing, Martin; Werwatz, Axel

2012-01-01

The price for a single-family house depends both on the characteristics of the building and on its location. We propose a novel semiparametric method to extract location values from house prices. After splitting house prices into building and land components, location values are estimated with adaptive weight smoothing. The adaptive estimator requires neither strong smoothness assumptions nor local symmetry. We apply the method to house transactions from Berlin, Germany. The estimated surface...

Photovoltaic (PV) Pricing Trends: Historical, Recent, and Near-Term Projections

Energy Technology Data Exchange (ETDEWEB)

Feldman, D.; Barbose, G.; Margolis, R.; Wiser, R.; Darghouth, N.; Goodrich, A.

2012-11-01

This report helps to clarify the confusion surrounding different estimates of system pricing by distinguishing between past, current, and near-term projected estimates. It also discusses the different methodologies and factors that impact the estimated price of a PV system, such as system size, location, technology, and reporting methods.These factors, including timing, can have a significant impact on system pricing.

What Factors Affect the Prices of Low-Priced U.S. Solar PV Systems?

Energy Technology Data Exchange (ETDEWEB)

Nemet, Gregory F. [Univ. of Wisconsin, Madison, WI (United States); Mercator Research Inst. on Global Commons and Climate Change, Berlin (Germany); O' Shaughnessy, Eric [National Renewable Energy Lab. (NREL), Golden, CO (United States); Wiser, Ryan [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Darghouth, Naïm R. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Barbose, Galen [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Gillingham, Ken [Yale Univ., New Haven, CT (United States); Rai, Varun [Univ. of Texas, Austin, TX (United States)

2016-08-01

The price of solar PV systems has declined rapidly, yet there are some much lower-priced systems than others. This study explores the factors leading some systems to be so much lower priced than others. Using a data set of 42,611 residential-scale PV systems installed in the U.S. in 2013, we use quantile regressions to estimate the importance of factors affecting the installed prices for low-priced (LP) systems (those at the 10th percentile) in comparison to median-priced systems. We find that the value of solar to consumers–a variable that accounts for subsidies, electric rates, and PV generation levels–is associated with lower prices for LP systems but higher prices for median priced systems. Conversely, systems installed in new home construction are associated with lower prices at the median but higher prices for LP. Other variables have larger cost-reducing effects on LP than on median priced systems: systems installed in Arizona and Florida, as well as commercial and thin film systems. In contrast, the following have a smaller effect on prices for LP systems than median priced systems: tracking systems, self-installations, systems installed in Massachusetts, the system size, and installer experience. These results highlight the complex factors at play that lead to LP systems and shed light into how such LP systems can come about.

A Simple Measure of Price Adjustment Coefficients.

OpenAIRE

Damodaran, Aswath

1993-01-01

One measure of market efficiency is the speed with which prices adjust to new information. The author develops a simple approach to estimating these price adjustment coefficients by using the information in return processes. This approach is used to estimate t he price adjustment coefficients for firms listed on the NYSE and the A MEX as well as for over-the-counter stocks. The author finds evidence of a lagged adjustment to new information in shorter return intervals for firms in all market ...

On the Reliability of Optimization Results for Trigeneration Systems in Buildings, in the Presence of Price Uncertainties and Erroneous Load Estimation

Directory of Open Access Journals (Sweden)

Antonio Piacentino

2016-12-01

Full Text Available Cogeneration and trigeneration plants are widely recognized as promising technologies for increasing energy efficiency in buildings. However, their overall potential is scarcely exploited, due to the difficulties in achieving economic viability and the risk of investment related to uncertainties in future energy loads and prices. Several stochastic optimization models have been proposed in the literature to account for uncertainties, but these instruments share in a common reliance on user-defined probability functions for each stochastic parameter. Being such functions hard to predict, in this paper an analysis of the influence of erroneous estimation of the uncertain energy loads and prices on the optimal plant design and operation is proposed. With reference to a hotel building, a number of realistic scenarios is developed, exploring all the most frequent errors occurring in the estimation of energy loads and prices. Then, profit-oriented optimizations are performed for the examined scenarios, by means of a deterministic mixed integer linear programming algorithm. From a comparison between the achieved results, it emerges that: (i the plant profitability is prevalently influenced by the average “spark-spread” (i.e., ratio between electricity and fuel price and, secondarily, from the shape of the daily price profiles; (ii the “optimal sizes” of the main components are scarcely influenced by the daily load profiles, while they are more strictly related with the average “power to heat” and “power to cooling” ratios of the building.

Behavioral heterogeneity in stock prices

NARCIS (Netherlands)

Boswijk, H.P.; Hommes, C.H.; Manzan, S.

2007-01-01

We estimate a dynamic asset pricing model characterized by heterogeneous boundedly rational agents. The fundamental value of the risky asset is publicly available to all agents, but they have different beliefs about the persistence of deviations of stock prices from the fundamental benchmark. An

Estimating the Volatility of Cocoa Price Return with ARCH and GARCH Models

Directory of Open Access Journals (Sweden)

Lya Aklimawati

2013-08-01

Full Text Available Dynamics of market changing as a result of market liberalization have an impact on agricultural commodities price fluctuation. High volatility on cocoa price movement reflect its price and market risk. Because of price and market uncertainty, the market players face some difficulties to make a decision in determining business development. This research was conducted to 1 understand the characteristics of cocoa price movement in cocoa futures trading, and 2analyze cocoa price volatility using ARCH and GARCH type model. Research was carried out by direct observation on the pattern of cocoa price movement in the futures trading and volatility analysis based on secondary data. The data was derived from Intercontinental Exchange ( ICE Futures U.S. Reports. The analysis result showed that GARCH is the best model to predict the value of average cocoa price return volatility, because it meets criteria of three diagnostic checking, which are ARCH-LM test, residual autocorrelation test and residual normality test. Based on the ARCH-LM test, GARCH (1,1did not have heteroscedasticity, because p-value  2 (0.640139and F-statistic (0.640449 were greater than 0.05. Results of residual autocorrelation test indicated that residual value of GARCH (1,1 was random, because the statistic value of Ljung-Box (LBon the 36 th lag is smaller than the statistic value of  2. Whereas, residual normality test concluded the residual of GARCH (1,1 were normally distributed, because AR (29, MA (29, RESID (-1^2, and GARCH (-1 were significant at 5% significance level. Increasing volatility value indicate high potential risk. Price risk can be reduced by managing financial instrument in futures trading such as forward and futures contract, and hedging. The research result also give an insight to the market player for decision making and determining time of hedging. Key words: Volatility, price, cocoa, GARCH, risk, futures trading

Projections of the energy prices

International Nuclear Information System (INIS)

Jankauskas, V.

1996-01-01

This article deals with the trends of the main fuel prices development in the Western European markets. There are two possible price development scenarios presented in the article. Transportation costs of various internationally traded fuels from various sources (Russia, Western Europe) are estimated and their most feasible values are considered. Fuel prices for the final big consumers are calculated adding the domestic distribution costs. Trends of heat and electricity price development in Lithuania during the period of 1991-1995 are analyzed. Forecasts of the electricity generation and supply costs are calculated according to various scenarios. Electricity prices will be lowest in the case of the further operation of the Ignalina NPP and low fuel prices in international markets. (author). 8 refs., 14 figs., 4 tabs

Essays on pricing dynamics, price dispersion, and nested logit modelling

Science.gov (United States)

Verlinda, Jeremy Alan

The body of this dissertation comprises three standalone essays, presented in three respective chapters. Chapter One explores the possibility that local market power contributes to the asymmetric relationship observed between wholesale costs and retail prices in gasoline markets. I exploit an original data set of weekly gas station prices in Southern California from September 2002 to May 2003, and take advantage of highly detailed station and local market-level characteristics to determine the extent to which spatial differentiation influences price-response asymmetry. I find that brand identity, proximity to rival stations, bundling and advertising, operation type, and local market features and demographics each influence a station's predicted asymmetric relationship between prices and wholesale costs. Chapter Two extends the existing literature on the effect of market structure on price dispersion in airline fares by modeling the effect at the disaggregate ticket level. Whereas past studies rely on aggregate measures of price dispersion such as the Gini coefficient or the standard deviation of fares, this paper estimates the entire empirical distribution of airline fares and documents how the shape of the distribution is determined by market structure. Specifically, I find that monopoly markets favor a wider distribution of fares with more mass in the tails while duopoly and competitive markets exhibit a tighter fare distribution. These findings indicate that the dispersion of airline fares may result from the efforts of airlines to practice second-degree price discrimination. Chapter Three adopts a Bayesian approach to the problem of tree structure specification in nested logit modelling, which requires a heavy computational burden in calculating marginal likelihoods. I compare two different techniques for estimating marginal likelihoods: (1) the Laplace approximation, and (2) reversible jump MCMC. I apply the techniques to both a simulated and a travel mode

Brazilian sawn wood price and income elasticity

Directory of Open Access Journals (Sweden)

Rommel Noce

2010-09-01

Full Text Available This study estimated the sawn wood demand price and income elasticity. Specifically it was estimated the priceelasticity of sawn wood, the cross price elasticity of wood panels and the income elasticity of Brazilian GDP. A log-log model withcorrection through outline of the mobile average (MA(1 was used, adjusted for the period of 1971 to 2006, which showed to bestable, with satisfactory significance levels. It was observed that sawn wood demand is inelastic in relation to price and elastic inrelation to income.

Price Elasticity of Alcohol Demand in India.

Science.gov (United States)

Kumar, Santosh

2017-05-01

Using a household survey conducted in 2014, this study estimates price elasticity of demand (PED) for beer, country liquor and spirits in India. Ordinary least-square models were used to estimate the responsiveness in alcohol demand due to price change. A large number of control variables were included to adjust for potential confounding in the model. Inter-district variation in alcohol consumption is adjusted for by including district fixed effects. Alcohol prices are negatively associated with demand for alcoholic beverages. The PED ranged from -0.14 for spirits to -0.46 for country liquor. Low level of education was positively associated with spirits consumption. The magnitude of elasticity varied by rural-urban, education and gender. Results indicate that a policy mix of price controls and awareness campaigns would be most effective in tackling the adverse effects of harmful drinking in India. The demand for beer, country liquor and spirits is negatively associated with its own price. The elasticity estimates ranged from -0.14 for spirits to -0.44 for country liquor. The elasticity estimates varied by rural-urban, gender and by education levels of the drinkers. © The Author 2017. Medical Council on Alcohol and Oxford University Press. All rights reserved

Dating breaks for global crude oil prices and their volatility : a possible price band for global crude prices

International Nuclear Information System (INIS)

Liao, H.C.; Suen, Y.B.

2006-01-01

Global oil prices are among the most visible of all historical commodity records. This paper presented and applied the multiple structural change method developed by Baie and Perron (BP) to investigate daily West Texas Intermediate (WTI) spot prices from January 2, 1986 to December 30, 2004 as collected by the United States Department of Energy. In particular, the BP statistical method was used to estimate the number and location of structural breaks in global oil price series and their volatility. The objective was to precisely determine the exact structural break in the global oil market. The breaks for both the price of oil and its volatility were successfully located and dated. It was shown that the break for the structural change in oil prices occurred on November 12, 1999, where the average oil price was U$19.02 per barrel previously, and U$30.90 afterwards. Two breaks for oil price volatility were also found, the first in March 1991 and the other in December 1995. The volatility was measured in 3 regimes by dividing these 2 breaks. It was suggested that since oil prices increased more rapidly during the second half of 2004 and 2005, it is possible that another structural break may be found during this period. However, it wa cautioned that it is difficult to find another significant break until more data becomes available, particularly for periods characterized by a rapid increase in price. 24 refs., 5 tabs., 2 figs

Cheaper by the Dozen: Using Sibling Discounts at Catholic Schools to Estimate the Price Elasticity of Private School Attendance. NBER Working Paper No. 15461

Science.gov (United States)

Dynarski, Susan; Gruber, Jonathan; Li, Danielle

2009-01-01

The effect of vouchers on sorting between private and public schools depends upon the price elasticity of demand for private schooling. Estimating this elasticity is empirically challenging because prices and quantities are jointly determined in the market for private schooling. We exploit a unique and previously undocumented source of variation…

Is macroeconomic announcement news priced?

NARCIS (Netherlands)

de Goeij, Peter; Hu, Jiehui; Werker, Bas

2016-01-01

We test whether news contained in macroeconomic announcements (MEAs) is priced in the cross-section of stock returns. When including news on a set of widely followed individual macroeconomic fundamentals in the cross-section of stock returns, estimates of their prices of risk are consistent with the

Farm-retail price spread for pork in Malaysia

OpenAIRE

Tey, (John) Yeong-Sheng; Randy, Stringer; Wendy, Umberger

2009-01-01

The price difference between farm and retail levels is called price spread, which is constituted mostly by marketing costs and profits. From the price spread, this paper intends to estimate elasticities of price transmission for pork in Malaysia via different empirical model specifications of markup pricing model. Using data from January 1997 to December 2007, a quantitative analysis of farm-to-retail price spreads was undertaken for pork in Malaysia. It was found that retail price is the onl...

House Prices and Taxes

DEFF Research Database (Denmark)

Gjedsted Nielsen, Mads

This paper is the first to consider a large scale natural experiment to estimate the effect of taxes on house prices. We find that a 1 percentage-point increase in income tax rates lead to a drop in house prices of at most 2.2%. This corresponds to a tax capitalization for the average household...... capitalization from earlier studies. Furthermore, we find no effect of property taxes on house prices. We attribute this to the low levels of Danish municipal property tax rates compared to income tax rates....

The pass through of oil prices into euro area consumer liquid fuel prices in an environment of high and volatile oil prices

Energy Technology Data Exchange (ETDEWEB)

Meyler, Aidan [European Central Bank, Frankfurt am Main (Germany)

2009-11-15

logarithms has important implications for the stability of estimates of pass through when oil price levels rise significantly. Second, considering spot prices for refined prices improves significantly the fit of the estimated models relative to using crude oil prices. It also results in more economically meaningful results concerning the extent of pass through. Third, oil price pass through occurs quickly, with 90% occurring within three to five weeks. Fourth, using a relatively broad specification allowing for asymmetry in the pass through from upstream to downstream prices, there is little evidence of statistically significant asymmetries. Furthermore, even where asymmetry is found to be statistically significant, it is generally not economically significant. Lastly, these results generally hold across most euro area countries with few exceptions. (author)

The pass through of oil prices into euro area consumer liquid fuel prices in an environment of high and volatile oil prices

International Nuclear Information System (INIS)

Meyler, Aidan

2009-01-01

logarithms has important implications for the stability of estimates of pass through when oil price levels rise significantly. Second, considering spot prices for refined prices improves significantly the fit of the estimated models relative to using crude oil prices. It also results in more economically meaningful results concerning the extent of pass through. Third, oil price pass through occurs quickly, with 90% occurring within three to five weeks. Fourth, using a relatively broad specification allowing for asymmetry in the pass through from upstream to downstream prices, there is little evidence of statistically significant asymmetries. Furthermore, even where asymmetry is found to be statistically significant, it is generally not economically significant. Lastly, these results generally hold across most euro area countries with few exceptions. (author)

Cost-price estimation of clinical laboratory services based on activity-based costing: A case study from a developing country.

Science.gov (United States)

Mouseli, Ali; Barouni, Mohsen; Amiresmaili, Mohammadreza; Samiee, Siamak Mirab; Vali, Leila

2017-04-01

It is believed that laboratory tariffs in Iran don't reflect the real costs. This might expose private laboratories at financial hardship. Activity Based Costing is widely used as a cost measurement instrument to more closely approximate the true cost of operations. This study aimed to determine the real price of different clinical tests of a selected private clinical laboratory. This study was a cross sectional study carried out in 2015. The study setting was the private laboratories in the city of Kerman, Iran. Of 629 tests in the tariff book of the laboratory (relative value), 188 tests were conducted in the laboratory that used Activity Based Costing (ABC) methodology to estimate cost-price. Analyzing and cost-price estimating of laboratory services were performed by MY ABCM software Version 5.0. In 2015, the total costs were $641,645. Direct and indirect costs were 78.3% and 21.7% respectively. Laboratory consumable costs by 37% and personnel costs by 36.3% had the largest share of the costing. Also, group of hormone tests cost the most $147,741 (23.03%), and other tests group cost the least $3,611 (0.56%). Also after calculating the cost of laboratory services, a comparison was made between the calculated price and the private sector's tariffs in 2015. This study showed that there was a difference between costs and tariffs in the private laboratory. One way to overcome this problem is to increase the number of laboratory tests with regard to capacity of the laboratories.

Guidelines for conducting pharmaceutical budget impact analyses for submission to public drug plans in Canada.

Science.gov (United States)

Marshall, Deborah A; Douglas, Patrick R; Drummond, Michael F; Torrance, George W; Macleod, Stuart; Manti, Orlando; Cheruvu, Lokanadha; Corvari, Ron

2008-01-01

, the characterisation of uncertainty, discounting, and validation methods). The Inputs and Data Sources section addresses methods for market size estimation, comparator selection, scenario forecasting and drug price estimation. The Reporting Format section describes methods for BIA reporting. The new Canadian BIA Guidelines represent a significant departure from the limited guidance that was previously available from some of the provinces, because they include specific details of the methods of performing BIAs. The Canadian BIA Guidelines differ from the Principles of Good Research Practice for BIAs developed by the International Society for Pharmacoeconomic and Outcomes Research (ISPOR), which provide more general guidance. The Canadian BIA Guidelines and template build upon existing guidance to address the specific requirements of each of the participating drug plans in Canada. Both have been endorsed by the NPDUIS Steering Committee and the PMPRB for the standardization of BIA submissions.

Volatility Mean Reversion and the Market Price of Volatility Risk

NARCIS (Netherlands)

Boswijk, H.P.

2001-01-01

This paper analyzes sources of derivative pricing errors in a stochastic volatility model estimated on stock return data. It is shown that such pricing errors may reflect the existence of a market price of volatility risk, but also may be caused by estimation errors due to a slow mean reversion in

Motor fuel prices in Turkey

International Nuclear Information System (INIS)

Erdogdu, Erkan

2014-01-01

The world's most expensive motor fuel (gasoline, diesel and LPG) is sold most likely in the Republic of Turkey. This paper investigates the key issues related to the motor fuel prices in Turkey. First of all, the paper analyses the main reason behind high prices, namely motor fuel taxes in Turkey. Then, it estimates the elasticity of motor fuel demand in Turkey using an econometric analysis. The findings indicate that motor fuel demand in Turkey is quite inelastic and, therefore, not responsive to price increases caused by an increase in either pre-tax prices or taxes. Therefore, fuel market in Turkey is open to opportunistic behavior by firms (through excessive profits) and the government (through excessive taxes). Besides, the paper focuses on the impact of high motor fuel prices on road transport associated activities, including the pattern of passenger transportation, motorization rate, fuel use, total kilometers traveled and CO 2 emissions from road transportation. The impact of motor fuel prices on income distribution in Turkey and Turkish public opinion about high motor fuel prices are also among the subjects investigated in the course of the study. - Highlights: • The key issues (e.g. taxes) related to motor fuel prices in Turkey are explored. • Their impact on transport activities and income distribution is also investigated. • An econometric analysis is performed to estimate motor fuel demand in Turkey. • Motor fuel demand in Turkey is found to be quite inelastic. • Turkish fuel market is open to opportunistic behavior by firms and the government

Estimating the price elasticity for demand for electricity by sector in South Africa

Directory of Open Access Journals (Sweden)

Roula Inglesi-Lotz

2011-12-01

Full Text Available This paper analyses electricity consumption patterns in South Africa in an attempt to understand and identify the roots of the current electricity crisis. This is done by investigating various economic sectors’ responses to price changes using panel data for the period 1993–2004. Positive and statistically significant price elasticities over this period were found for the transport (rail and commercial sectors while there are positive, but small and statistically insignificant responses to price changes in the agriculture and mining sectors. Only the industrial sector responded to changes in electricity prices according to theory, namely illustrating negative demand elasticities. This sector, however, dominates electricity consumption resulting in aggregate demand elasticities that are negative. These results explain, in part, the current electricity crisis. Given the historic low level of electricity prices in conjunction with, on the whole, a real price decline, i.e. price increases lower than the inflation rate; there was no major incentive to reduce electricity consumption and/or to be efficient. This result supports the notion that prices do have an important signalling effect in the economy. Hence, the electricity prices should be considered not only from an economic growth or social vantage point, but also from a supply and technocratic perspective, which includes environmental factors such as CO2-emissions. Prices should not be determined without considering the system-wide implications thereof.

Trends in U.S. food prices, 1950-2007.

Science.gov (United States)

Christian, Thomas; Rashad, Inas

2009-03-01

The potential effect that food prices may have on the health of the U.S. population needs to be further explored, particularly in light of the rising food prices currently being observed. Declining food prices over time have been singled out as a main contributor, for example, to the rising trend in obesity. In this paper we use data from the Bureau of Labor Statistics, the American Chamber of Commerce Researchers Association, the Consumer Expenditure Survey, and the United States Department of Agriculture to analyze trends in various types of food prices, to create a food price index, and to estimate the price of a calorie. Results may be used by future researchers in estimating the health implications of these trends. We find that while the general trend in food prices has been declining, that of restaurant meal prices and prices of fruits and vegetables has risen over time. It is doubtful that the decline in food prices has been sufficiently large to account for the large increase in caloric intake that is said to have contributed to the obesity epidemic in the U.S.

Pricing of new vaccines

Science.gov (United States)

McGlone, Sarah M

2010-01-01

New vaccine pricing is a complicated process that could have substantial long-standing scientific, medical and public health ramifications. Pricing can have a considerable impact on new vaccine adoption and, thereby, either culminate or thwart years of research and development and public health efforts. Typically, pricing strategy consists of the following eleven components: (1) Conduct a target population analysis; (2) Map potential competitors and alternatives; (3) Construct a vaccine target product profile (TPP) and compare it to projected or actual TPPs of competing vaccines; (4) Quantify the incremental value of the new vaccine's characteristics; (5) Determine vaccine positioning in the marketplace; (6) Estimate the vaccine price-demand curve; (7) Calculate vaccine costs (including those of manufacturing, distribution, and research and development); (8) Account for various legal, regulatory, third party payer and competitor factors; (9) Consider the overall product portfolio; (10) Set pricing objectives; (11) Select pricing and pricing structure. While the biomedical literature contains some studies that have addressed these components, there is still considerable room for more extensive evaluation of this important area. PMID:20861678

Pricing of new vaccines.

Science.gov (United States)

Lee, Bruce Y; McGlone, Sarah M

2010-08-01

New vaccine pricing is a complicated process that could have substantial long-standing scientific, medical, and public health ramifications. Pricing can have a considerable impact on new vaccine adoption and, thereby, either culminate or thwart years of research and development and public health efforts. Typically, pricing strategy consists of the following ten components: 1. Conduct a target population analysis; 2. Map potential competitors and alternatives; 3. Construct a vaccine target product profile (TPP) and compare it to projected or actual TPPs of competing vaccines; 4. Quantify the incremental value of the new vaccine's characteristics; 5. Determine vaccine positioning in the marketplace; 6. Estimate the vaccine price-demand curve; 7. Calculate vaccine costs (including those of manufacturing, distribution, and research and development); 8. Account for various legal, regulatory, third party payer, and competitor factors; 9. Consider the overall product portfolio; 10. Set pricing objectives; 11. Select pricing and pricing structure. While the biomedical literature contains some studies that have addressed these components, there is still considerable room for more extensive evaluation of this important area.

A meta-analysis on the price elasticity of energy demand

International Nuclear Information System (INIS)

Labandeira, Xavier; Labeaga, José M.; López-Otero, Xiral

2017-01-01

Price elasticities of energy demand have become increasingly relevant in estimating the socio-economic and environmental effects of energy policies or other events that influence the price of energy goods. Since the 1970s, a large number of academic papers have provided both short and long-term price elasticity estimates for different countries using several models, data and estimation techniques. Yet the literature offers a rather wide range of estimates for the price elasticities of demand for energy. This paper quantitatively summarizes the recent, but sizeable, empirical evidence to facilitate a sounder economic assessment of (in some cases policy-related) energy price changes. It uses meta-analysis to identify the main factors affecting short and long term elasticity results for energy, in general, as well as for specific products, i.e., electricity, natural gas, gasoline, diesel and heating oil. - Highlights: • An updated and wider meta-analysis on price elasticities of energy demand. • Energy goods are shown to be price inelastic both in the short and long-term. • Results are relevant for a proper design and implementation of energy policies. • Our results refer to energy, as a whole, and specific energy goods.

Pricing hospital care: Global budgets and marginal pricing strategies.

Science.gov (United States)

Sutherland, Jason M

2015-08-01

The Canadian province of British Columbia (BC) is adding financial incentives to increase the volume of surgeries provided by hospitals using a marginal pricing approach. The objective of this study is to calculate marginal costs of surgeries based on assumptions regarding hospitals' availability of labor and equipment. This study is based on observational clinical, administrative and financial data generated by hospitals. Hospital inpatient and outpatient discharge summaries from the province are linked with detailed activity-based costing information, stratified by assigned case mix categorizations. To reflect a range of operating constraints governing hospitals' ability to increase their volume of surgeries, a number of scenarios are proposed. Under these scenarios, estimated marginal costs are calculated and compared to prices being offered as incentives to hospitals. Existing data can be used to support alternative strategies for pricing hospital care. Prices for inpatient surgeries do not generate positive margins under a range of operating scenarios. Hip and knee surgeries generate surpluses for hospitals even under the most costly labor conditions and are expected to generate additional volume. In health systems that wish to fine-tune financial incentives, setting prices that create incentives for additional volume should reflect knowledge of hospitals' underlying cost structures. Possible implications of mis-pricing include no response to the incentives or uneven increases in supply. Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Radiological risk comparison guidelines

International Nuclear Information System (INIS)

Hallinan, E.J.; Muhlestein, L.D.; Brown, L.F.; Yoder, R.E.

1992-01-01

An important aspect of DOE safety analyses is estimating potential accident risk. The estimates are used to: determine if additional controls are needed, identify Safety Class Items, and demonstrate adequate risk reduction. Thus, guidelines are needed to measure comparative risks. The Westinghouse M ampersand O Nuclear Facility Safety Committee and the Safety Envelope Working Group have developed radiological risk guidelines for comparing the risks from individual accident analyses. These guidelines were prepared under contract with the US Department of Energy. These guidelines are based on historical DOE guidelines and current requirements, and satisfy DOE and technical community proposals. for goals that demonstrate acceptable risk. The guidelines consist of a frequency versus consequence curve for credible accidents. Offsite and onsite guidelines are presented. The offsite risk acceptance guidelines are presented in Figure 1. The guidelines are nearly isorisk for anticipated events where impacts are chronic, and provide additional reduction for unlikely events where impacts may be acute and risk uncertainties may be significant. The guidelines are applied to individual release accident scenarios where a discrete frequency and consequence has been estimated. The guideline curves are not to be used for total risk assessments. Common cause events are taken into consideration only for an individual facility. Frequencies outside the guideline range are considered to be local site option (analyst judgement) as far as assessments of risk acceptance are concerned. If the curve is exceeded, then options include either a more detailed analysis or imposing additional preventive or mitigative features. Another presentation discusses implementation in detail. Additional work is needed to provide risk comparison guidelines for releases from multiple facilities and for toxic releases

Documentation of the Retail Price Model

Science.gov (United States)

The Retail Price Model (RPM) provides a first‐order estimate of average retail electricity prices using information from the EPA Base Case v.5.13 Base Case or other scenarios for each of the 64 Integrated Planing Model (IPM) regions.

Energy price uncertainty, energy intensity and firm investment

International Nuclear Information System (INIS)

Yoon, Kyung Hwan; Ratti, Ronald A.

2011-01-01

This paper examines the effect of energy price uncertainty on firm-level investment. An error correction model of capital stock adjustment is estimated with data on U.S. manufacturing firms. Higher energy price uncertainty is found to make firms more cautious by reducing the responsiveness of investment to sales growth. The result is robust to consideration of energy intensity by industry. The effect is greater for high growth firms. It must be emphasized that the direct effect of uncertainty is not estimated. Conditional variance of energy price is obtained from a GARCH model. Findings suggest that stability in energy prices would be conducive to greater stability in firm-level investment. (author)

Prospects for the Competitive Export Price of SMART

International Nuclear Information System (INIS)

Lee, Man Ki; Jeong, Ki Ho

2012-01-01

SMART is an integral type pressurized water reactor with a thermal capacity of 330MW. Its design development is in the final stage preparing getting a design certificate. SMART has been developed by KAERI for the purpose of exporting it. The objective of this study is to estimate the probable price range of SMART in the exporting market. The estimation of competitive exporting price of SMART in advance is believed to be helpful in the establishment of the development strategy of SMART. Exporting price of SMART in this study means the construction cost of it. It is because the construction cost is a decisive factor determining the exporting price of SMART

Price impact on Russian gas production and export

International Nuclear Information System (INIS)

Kononov, Y.D.

2003-01-01

The paper examines the prospects for Russian gas output and export under different price development. Growth of gas production and transportation costs, following an increase of gas export and production, is estimated. An attempt is made to determine the relation of efficient (from the point of view of gas companies) gas export volumes to prices on external energy markets. The paper presents a quantitative estimate of the possible impact of domestic gas price policy on gas output in Western Siberia. (author)

Timber price dynamics following a natural catastrophe

Science.gov (United States)

Jeffrey P. Prestemon; Thomas P. Holmes

2000-01-01

Catastrophic shocks to existing stocks of a renewable resource can cause long-run price shifts. With timber, these long-run price shifts may be accompanied by a short-run price drop due to salvage. Hurricane Hugo damaged 20 percent of southern pine timber in the South Carolina Coastal Plain in 1989. To estimate the...

Price elasticity estimation of electricity demand in France

International Nuclear Information System (INIS)

Bourbonnais, Regis; Keppler, Jan Horst

2013-10-01

On request of the French Union of Electricity (UFE), the authors have carried out a series of econometric statistical tests in order to determine the price elasticity of electricity demand in France. The results obtained are all solid and realistic

Pricing as a means of controlling alcohol consumption.

Science.gov (United States)

Sharma, Anurag; Sinha, Kompal; Vandenberg, Brian

2017-09-01

Reducing the affordability of alcohol, by increasing its price, is the most effective strategy for controlling alcohol consumption and reducing harm. We review meta-analyses and systematic reviews of alcohol tax/price effects from the past decade, and recent evaluations of tax/price policies in the UK, Canada and Australia. While the magnitudes of price effects vary by sub-group and alcoholic beverage type, it has been consistently shown that price increases lead to reductions in alcohol consumption. There remains, however, a lack of consensus on the most appropriate taxation and pricing policy in many countries because of concerns about effects by different consumption level and income level and disagreement on policy design between parts of the alcoholic beverage industries. Recent developments in the research highlight the importance of obtaining accurate alcohol price data, reducing bias in estimating price responsiveness, and examining the impact on the heaviest drinkers. There is a need for further research focusing on the substitution effects of taxation and pricing policies, estimation of the true tax pass-through rates, and empirical analysis of the supply-side response (from alcohol producers and retailers) to various alcohol pricing strategies. © The Author 2017. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

House Prices and Public Debt

DEFF Research Database (Denmark)

Gjedsted Nielsen, Mads; Rzeznik, Aleksandra

By using the 2002 case of fraud in the Danish municipality Farum by then mayor Peter Brixtofte as an exogenous shock to public debt of 1 billion DKK, I estimate the effect of public debt on house prices. I find that the average home ownership lost about 570,000 DKK or as much as 29% of the average...... house price in the municipality. Furthermore, I document that the aggregate house price loss of 2.1 billion DKK greatly exceeds the increase in public debt of 1 billion DKK. I find that the drop in house prices is sustained 1 year, indicating that the housing market initially overreacts...

Alpha Momentum and Price Momentum

Directory of Open Access Journals (Sweden)

Hannah Lea Hühn

2018-05-01

Full Text Available We analyze a novel alpha momentum strategy that invests in stocks based on three-factor alphas which we estimate using daily returns. The empirical analysis for the U.S. and for Europe shows that (i past alpha has power in predicting the cross-section of stock returns; (ii alpha momentum exhibits less dynamic factor exposures than price momentum and (iii alpha momentum dominates price momentum only in the U.S. Connecting both strategies to behavioral explanations, alpha momentum is more related to an underreaction to firm-specific news while price momentum is primarily driven by price overshooting due to momentum trading.

Short-term Consumer Benefits of Dynamic Pricing

OpenAIRE

Dupont, Benjamin; De Jonghe, Cedric; Kessels, Kris; Belmans, Ronnie

2011-01-01

Consumer benefits of dynamic pricing depend on a variety of factors. Consumer characteristics and climatic circumstances widely differ, which forces a regional comparison. This paper presents a general overview of demand response programs and focuses on the short-term benefits of dynamic pricing for an average Flemish residential consumer. It reaches a methodology to develop a cost reflective dynamic pricing program and to estimate short-term bill savings. Participating in a dynamic pricing p...

Wine Price Markup in California Restaurants

OpenAIRE

Amspacher, William

2011-01-01

The study quantifies the relationship between retail wine price and restaurant mark-up. Ordinary Least Squares regressions were run to estimate how restaurant mark-up responded to retail price. Separate regressions were run for white wine, red wine, and both red and white combined. Both slope and intercept coefficients for each of these regressions were highly significant and indicated the expected inverse relationship between retail price and mark-up.

Estimation of Relative Economic Weights of Hanwoo Carcass Traits Based on Carcass Market Price

Science.gov (United States)

Choy, Yun Ho; Park, Byoung Ho; Choi, Tae Jung; Choi, Jae Gwan; Cho, Kwang Hyun; Lee, Seung Soo; Choi, You Lim; Koh, Kyung Chul; Kim, Hyo Sun

2012-01-01

The objective of this study was to estimate economic weights of Hanwoo carcass traits that can be used to build economic selection indexes for selection of seedstocks. Data from carcass measures for determining beef yield and quality grades were collected and provided by the Korean Institute for Animal Products Quality Evaluation (KAPE). Out of 1,556,971 records, 476,430 records collected from 13 abattoirs from 2008 to 2010 after deletion of outlying observations were used to estimate relative economic weights of bid price per kg carcass weight on cold carcass weight (CW), eye muscle area (EMA), backfat thickness (BF) and marbling score (MS) and the phenotypic relationships among component traits. Price of carcass tended to increase linearly as yield grades or quality grades, in marginal or in combination, increased. Partial regression coefficients for MS, EMA, BF, and for CW in original scales were +948.5 won/score, +27.3 won/cm2, −95.2 won/mm and +7.3 won/kg when all three sex categories were taken into account. Among four grade determining traits, relative economic weight of MS was the greatest. Variations in partial regression coefficients by sex categories were great but the trends in relative weights for each carcass measures were similar. Relative economic weights of four traits in integer values when standardized measures were fit into covariance model were +4:+1:−1:+1 for MS:EMA:BF:CW. Further research is required to account for the cost of production per unit carcass weight or per unit production under different economic situations. PMID:25049531

Impact of Rainfall, Sales Method, and Time on Land Prices

OpenAIRE

Stephens, Steve; Schurle, Bryan

2013-01-01

Land prices in Western Kansas are analyzed using regression to estimate the influence of rainfall, sales method, and time of sale. The estimates from regression indicate that land prices decreased about $27 for each range that was farther west which can be converted to about $75 per inch of average rainfall. In addition, the influence of method of sale (private sale or auction) is estimated along with the impact of time of sale. Auction sales prices are approximately $100 higher per acre than...

Estimation of Direct Melanoma-related Costs by Disease Stage and by Phase of Diagnosis and Treatment According to Clinical Guidelines

Directory of Open Access Journals (Sweden)

Alessandra Buja

2017-11-01

Full Text Available Cutaneous melanoma is a major concern in terms of healthcare systems and economics. The aim of this study was to estimate the direct costs of melanoma by disease stage, phase of diagnosis, and treatment according to the pre-set clinical guidelines drafted by the AIOM (Italian Medical Oncological Association. Based on the AIOM guidelines for malignant cutaneous melanoma, a highly detailed decision-making model was developed describing the patient’s pathway from diagnosis through the subsequent phases of disease staging, surgical and medical treatment, and follow-up. The model associates each phase potentially involving medical procedures with a likelihood measure and a cost, thus enabling an estimation of the expected costs by disease stage and clinical phase of melanoma diagnosis and treatment according to the clinical guidelines. The mean per-patient cost of the whole melanoma pathway (including one year of follow-up ranged from €149 for stage 0 disease to €66,950 for stage IV disease. The costs relating to each phase of the disease’s diagnosis and treatment depended on disease stage. It is essential to calculate the direct costs of managing malignant cutaneous melanoma according to clinical guidelines in order to estimate the economic burden of this disease and to enable policy-makers to allocate appropriate resources.

The economic cost of fuel price subsidies in Ghana

Science.gov (United States)

Ofori, Roland Oduro

I adapt the Harberger formula for deadweight loss to develop approximations for the deadweight loss created by multiple fuel price subsidies. I also estimate the own-price, cross-price, and income elasticities of demand for gasoline and diesel in Africa. I use data on fuel prices and sales in combination with my formulas and elasticity estimates to calculate the deadweight loss of fuel price subsidies in Ghana from 2009 to 2014. I show that the average efficiency cost of the gasoline and diesel price subsidies in Ghana is 0.8% of fuel price subsidy transfers. This result stresses the futility of basing subsidy reforms on economic efficiency losses, which are relatively small due to very inelastic energy demand, and the need for such reforms to be motivated by the poor-targeting of subsidies to low-income households and the impact of subsidies on government debt-financing.

What Happens to Patterns of Food Consumption when Food Prices Change? Evidence from A Systematic Review and Meta-Analysis of Food Price Elasticities Globally.

Science.gov (United States)

Cornelsen, Laura; Green, Rosemary; Turner, Rachel; Dangour, Alan D; Shankar, Bhavani; Mazzocchi, Mario; Smith, Richard D

2015-12-01

Recent years have seen considerable interest in examining the impact of food prices on food consumption and subsequent health consequences. Fiscal policies targeting the relative price of unhealthy foods are frequently put forward as ways to address the obesity epidemic. Conversely, various food subsidy interventions are used in attempts to reduce levels of under-nutrition. Information on price elasticities is essential for understanding how such changes in food prices affect food consumption. It is crucial to know not only own-price elasticities but also cross-price elasticities, as food substitution patterns may have significant implications for policy recommendations. While own-price elasticities are common in analyses of the impact of food price changes on health, cross-price effects, even though generally acknowledged, are much less frequently included in analyses, especially in the public health literature. This article systematically reviews the global evidence on cross-price elasticities and provides combined estimates for seven food groups in low-income, middle-income and high-income countries alongside previously estimated own-price elasticities. Changes in food prices had the largest own-price effects in low-income countries. Cross-price effects were more varied and depending on country income level were found to be reinforcing, undermining or alleviating own-price effects. Copyright © 2014 John Wiley & Sons, Ltd.

Economic impact on the Florida economy of energy price spikes

International Nuclear Information System (INIS)

Mory, J.F.

1992-01-01

A substantial disturbance in oil supplies is likely to generate a large price upsurge and a downturn in the level of economic activity. Each of these two effects diminishes demand by a certain amount. The specific price surge required to reduce demand to the lower level of supply can be calculated with an oil demand function and with empirical estimations of the association between price spikes and declines in economic activity. The first section presents an energy demand model for Florida, which provides the price and income elasticities needed. The second section includes theoretical explanations and empirical estimations of the relationship between price spikes and recessions. Based on historical evidence, it seems that Florida's and the nation's economic systems are very sensitive to oil price surges. As price spikes appear damaging to the economy, it could be expected that reductions in the price of oil are beneficial to the system. That is likely to be the case in the long run, but no empirical evidence of favorable short-term effects of oil price decreases was found. Several possible explanations and theoretical reasons are offered to explain this lack of association. The final section presents estimates of the effect of oil disruptions upon specific industries in Florida and the nation

Estimation of stochastic volatility with long memory for index prices of FTSE Bursa Malaysia KLCI

Energy Technology Data Exchange (ETDEWEB)

Chen, Kho Chia; Kane, Ibrahim Lawal; Rahman, Haliza Abd [Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310, Johor Bahru (Malaysia); Bahar, Arifah [UTM Centre for Industrial and Applied Mathematics (UTM-CIAM), Universiti Teknologi Malaysia, 81310, Johor Bahru and Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, 81310, Johor Bahru (Malaysia); Ting, Chee-Ming [Center for Biomedical Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru (Malaysia)

2015-02-03

In recent years, modeling in long memory properties or fractionally integrated processes in stochastic volatility has been applied in the financial time series. A time series with structural breaks can generate a strong persistence in the autocorrelation function, which is an observed behaviour of a long memory process. This paper considers the structural break of data in order to determine true long memory time series data. Unlike usual short memory models for log volatility, the fractional Ornstein-Uhlenbeck process is neither a Markovian process nor can it be easily transformed into a Markovian process. This makes the likelihood evaluation and parameter estimation for the long memory stochastic volatility (LMSV) model challenging tasks. The drift and volatility parameters of the fractional Ornstein-Unlenbeck model are estimated separately using the least square estimator (lse) and quadratic generalized variations (qgv) method respectively. Finally, the empirical distribution of unobserved volatility is estimated using the particle filtering with sequential important sampling-resampling (SIR) method. The mean square error (MSE) between the estimated and empirical volatility indicates that the performance of the model towards the index prices of FTSE Bursa Malaysia KLCI is fairly well.

Estimation of stochastic volatility with long memory for index prices of FTSE Bursa Malaysia KLCI

Science.gov (United States)

Chen, Kho Chia; Bahar, Arifah; Kane, Ibrahim Lawal; Ting, Chee-Ming; Rahman, Haliza Abd

2015-02-01

In recent years, modeling in long memory properties or fractionally integrated processes in stochastic volatility has been applied in the financial time series. A time series with structural breaks can generate a strong persistence in the autocorrelation function, which is an observed behaviour of a long memory process. This paper considers the structural break of data in order to determine true long memory time series data. Unlike usual short memory models for log volatility, the fractional Ornstein-Uhlenbeck process is neither a Markovian process nor can it be easily transformed into a Markovian process. This makes the likelihood evaluation and parameter estimation for the long memory stochastic volatility (LMSV) model challenging tasks. The drift and volatility parameters of the fractional Ornstein-Unlenbeck model are estimated separately using the least square estimator (lse) and quadratic generalized variations (qgv) method respectively. Finally, the empirical distribution of unobserved volatility is estimated using the particle filtering with sequential important sampling-resampling (SIR) method. The mean square error (MSE) between the estimated and empirical volatility indicates that the performance of the model towards the index prices of FTSE Bursa Malaysia KLCI is fairly well.

Estimation of stochastic volatility with long memory for index prices of FTSE Bursa Malaysia KLCI

International Nuclear Information System (INIS)

Chen, Kho Chia; Kane, Ibrahim Lawal; Rahman, Haliza Abd; Bahar, Arifah; Ting, Chee-Ming

2015-01-01

In recent years, modeling in long memory properties or fractionally integrated processes in stochastic volatility has been applied in the financial time series. A time series with structural breaks can generate a strong persistence in the autocorrelation function, which is an observed behaviour of a long memory process. This paper considers the structural break of data in order to determine true long memory time series data. Unlike usual short memory models for log volatility, the fractional Ornstein-Uhlenbeck process is neither a Markovian process nor can it be easily transformed into a Markovian process. This makes the likelihood evaluation and parameter estimation for the long memory stochastic volatility (LMSV) model challenging tasks. The drift and volatility parameters of the fractional Ornstein-Unlenbeck model are estimated separately using the least square estimator (lse) and quadratic generalized variations (qgv) method respectively. Finally, the empirical distribution of unobserved volatility is estimated using the particle filtering with sequential important sampling-resampling (SIR) method. The mean square error (MSE) between the estimated and empirical volatility indicates that the performance of the model towards the index prices of FTSE Bursa Malaysia KLCI is fairly well

CO2 Allowance and Electricity Price Interaction

Energy Technology Data Exchange (ETDEWEB)

NONE

2007-07-01

With the introduction of CO2 emission constraints on power generators in the European Union, climate policy is starting to have notable effects on energy markets. This paper sheds light on the links between CO2 prices, electricity prices, and electricity costs to industry. It is based on a series of interviews with industrial and electricity stakeholders, as well as a rich literature seeking to estimate the exact effect of CO2 prices on electricity prices.

What can price volatility tell us about market efficiency? Conditional heteroscedasticity in historical commodity price series

NARCIS (Netherlands)

Földvári, P.; van Leeuwen, B.

2011-01-01

The development in the working of markets has been an important topic in economic history for decades. The volatility of market prices is often used as an indicator of market efficiency in the broadest sense. Yet, the way in which volatility is estimated often makes it difficult to compare price

Experimental investigation of consumer price evaluations

NARCIS (Netherlands)

Z. Sándor (Zsolt); Ph.H.B.F. Franses (Philip Hans)

2004-01-01

textabstractWe develop a procedure to collect experimental choice data for estimating consumer preferences with a special focus on consumer price evaluations. For this purpose we employ a heteroskedastic mixed logit model that measures the effect of the way prices are specified on the variance of

The price of cigarettes in the European Union.

Science.gov (United States)

Montes, A; Villalbí, J R

2001-06-01

A major factor influencing tobacco use is its price. Fiscal policies on tobacco are a key ingredient of any comprehensive control strategy, as they can be used to raise prices. The European Union (EU) developed directives to ensure some harmonisation of the fiscal pressure on tobacco across its member states. To provide a simple comparison of tobacco prices in the EU, adjusting for the purchasing power of each currency. For price comparisons, a 20 units pack of Marlboro was the reference product, and data refer to April 2000. Purchasing power parities (PPP) for each member state currency have been compiled. These are currency conversion rates, which convert to a common currency and equalise the purchasing power of different currencies. Nominal prices of a Marlboro pack for each member state, and a price index, estimated taking as reference the EU mean. Adjusted prices and an adjusted price index have been estimated using PPP. Nominal prices show wide variation, with the cheapest pack in Portugal (59) and the most expensive in the UK (196); the range of variation is three-fold. However, PPP adjusted prices reveal a different distribution. In three countries adjusted prices are outliers, but all other countries make two clusters, one around the average EU index of 100, the other around a lower value of 85. These results suggest that fiscal harmonisation policies in the EU do not have an even effect at reducing availability by its impact in price.

The short-term impact of Ontario's generic pricing reforms.

Directory of Open Access Journals (Sweden)

Michael R Law

Full Text Available Canadians pay amongst the highest generic drug prices in the world. In July 2010, the province of Ontario enacted a policy that halved reimbursement for generic drugs from the public drug plan, and substantially lowered prices for private purchases. We quantified the impact of this policy on overall generic drug expenditures in the province, and projected the impact in other provinces had they mimicked this pricing change.We used quarterly prescription generic drug dispensing data from the IMS-Brogan CompuScript Audit. We used the price per unit in both the pre- and post-policy period and two economics price indexes to estimate the expenditure reduction in Ontario. Further, we used the post-policy Ontario prices to estimate the potential reduction in other provinces.We estimate that total expenditure on generic drugs in Ontario during the second half of 2010 was between $181 and $194 million below what would be expected if prices had remained at pre-policy level. Over half of the reduction in spending was due to savings on just 10 generic ingredients. If other provinces had matched Ontario's prices, their expenditures over during the latter half of 2010 would have been $445 million lower.We found that if Ontario's pricing scheme were adopted nationally, overall spending on generic drugs in Canada would drop at least $1.28 billion annually--a 5% decrease in total prescription drug expenditure. Other provinces should seriously consider both changes to their generic drug prices and the use of more competitive bulk purchasing policies.

Nonlinear Pricing in Energy and Environmental Markets

Science.gov (United States)

Ito, Koichiro

Consumers Respond to Nonlinear Pricing? Evidence from Household Water Demand" provides similar empirical evidence in residential water markets. In this paper, I exploit variation in residential water pricing in Southern California to examine how consumers respond to nonlinear pricing. Contrary to the standard predictions for nonlinear budget sets, I find no bunching of consumers around the kink points of their nonlinear price schedule. I then explore whether consumers respond to marginal price, expected marginal price, or average price when faced with nonlinear water price schedules. The price schedule of one service area was changed from a linear price schedule to a nonlinear price schedule. This policy change lead to an increase in marginal price and expected marginal price but a decrease in average price for many consumers. Using household-level panel data, I find strong evidence that consumers respond to average price rather than marginal or expected marginal price. Estimates of the short-run price elasticity for the summer and winter months are -.127 and -.097, and estimates of the long-run price elasticity for the summer and winter months are -.203 and -.154. I conclude with "The Effect of Cash Rewards on Energy Conservation: Evidence from a Regression Discontinuity Design" to examine the effect of an alternative form of nonlinear pricing that was developed to provide an explicit financial incentive for conservation. In the summer of 2005, California residents received a 20% discount on their summer electricity bills if they could reduce their electricity consumption by 20% relative to 2004. Nearly all households automatically participated in the program, but the eligibility rule required households to have started their electricity service by a certain cutoff date in 2004. This rule generated an essentially random assignment of the program among households that started their service right before and after the cutoff date. Using household-level monthly billing records

Empirical analysis of the spot market implications of price-responsive demand

International Nuclear Information System (INIS)

Siddiqui, A.S.

2006-01-01

Although electricity is theoretically an inelastic good in the short term, the steep slope of the supply stack implies that even modest response by demand could translate into reduced capacity requirements and significant price decreases. This article examined the effect of price-responsive demand strategies in an actual deregulated electricity industry. Auction data from the New York Independent System Operator (NYISO) day-ahead electricity market were used to form supply stacks for various zones. A simple linear demand function was used to determine the effect of price responsiveness on equilibrium spot market price and consumption. The aim was to quantify the benefits from the pricing protocol and to determine whether modest levels of price elasticity can significantly lower prices and consumption. Market-clearing prices and quantities were estimated using various supply curves in order to quantify the responsiveness necessary to achieve given price reductions. Price response was induced in the demand curve by varying its slope. Estimates were then used to estimate the average level of slope needed to reduce the average market-clearing price during the year by a certain percentage. Results showed that an average slope of -50.04 was necessary for prices to be reduced by 25 per cent. Results also showed that necessary price responses can be ascertained for any desired reduction in the market-clearing price or quantity. Although price responsiveness unambiguously reduces the spot market price and quantity, its effect on the forward price is not yet clear. It was concluded that a separate analysis of peak hours may reveal the effectiveness of enhanced price response. 8 refs., 1 tab., 8 figs

Oil Prices and Venezuela's Economy

OpenAIRE

Mark Weisbrot; Rebecca Ray

2008-01-01

This paper looks at Venezuela’s export revenue, imports, and trade and current account balances under a range of oil price outcomes for the next two years. It finds that Venezuela would run large current account surpluses for prices between $60-90 per barrel, and would even run a small surplus with prices at $50 per barrel. (Most oil industry estimates for the next two years are in the range of $80-90 per barrel). The authors conclude that Venezuela is unlikely to run into foreign exchange co...

PRICE AND PRICING STRATEGIES

OpenAIRE

SUCIU Titus

2013-01-01

In individual companies, price is one significant factor in achieving marketing success. In many purchase situations, price can be of great importance to customers. Marketers must establish pricing strategies that are compatible with the rest of the marketing mix. Management should decide whether to charge the same price to all similar buyers of identical quantities of a product (a one-price strategy) or to set different prices (a flexible price strategy). Many organizations, especially retai...

Price and healthfulness of snacks in 32 YMCA after-school programs in 4 US metropolitan areas, 2006-2008.

Science.gov (United States)

Mozaffarian, Rebecca S; Andry, Analisa; Lee, Rebekka M; Wiecha, Jean L; Gortmaker, Steven L

2012-01-01

A common perception is that healthful foods are more expensive than less healthful foods. We assessed the cost of beverages and foods served at YMCA after-school programs, determined whether healthful snacks were more expensive, and identified inexpensive, healthful options. We collected daily snack menus from 32 YMCAs nationwide from 2006 to 2008 and derived prices of beverages and foods from the US Department of Agriculture price database. Multiple linear regression was used to assess associations of healthful snacks and of beverage and food groups with price (n = 1,294 snack-days). We identified repeatedly served healthful snacks consistent with Child and Adult Care Food Program guidelines and reimbursement rate ($0.74/snack). On average, healthful snacks were approximately 50% more expensive than less healthful snacks ($0.26/snack; SE, 0.08; P = .003). Compared to water, 100% juice significantly increased average snack price, after controlling for other variables in the model. Similarly, compared to refined grains with trans fats, refined grains without trans fat significantly increased snack price, as did fruit and canned or frozen vegetables. Fresh vegetables (mostly carrots or celery) or whole grains did not alter price. Twenty-two repeatedly served snacks met nutrition guidelines and the reimbursement rate. In this sample of after-school programs, healthful snacks were typically more expensive than less healthful options; however, we identified many healthful snacks served at or below the price of less healthful options. Substituting tap water for 100% juice yielded price savings that could be used toward purchasing more healthful foods (eg, an apple). Our findings have practical implications for selecting snacks that meet health and reimbursement guidelines.

Can price get the monkey off our back? A meta-analysis of illicit drug demand.

Science.gov (United States)

Gallet, Craig A

2014-01-01

Because of the increased availability of price data over the past 15 years, several studies have estimated the demand for illicit drugs, providing 462 estimates of the price elasticity. Results from estimating several meta-regressions reveal that these price elasticity estimates are influenced by a number of study characteristics. For instance, the price elasticity differs across drugs, with its absolute value being smallest for marijuana, compared with cocaine and heroin. Furthermore, price elasticity estimates are sensitive to whether demand is modeled in the short-run or the long-run, measures of quantity and price, whether or not alcohol and other illicit drugs are included in the specification of demand, and the location of demand. However, a number of other factors, including the functional form of demand, several specification issues, the type of data and method used to estimate demand, and the quality of the publication outlet, have less influence on the price elasticity. Copyright © 2013 John Wiley & Sons, Ltd.

House price risk and the hedging benefits of home Ownership

NARCIS (Netherlands)

Dröes, M.I.; Hassink, W.H.J.

2013-01-01

Using a repeat-sales methodology, this paper finds that estimates of house price risk based on aggregate house price indices substantially underestimate the true size of house price risk. This is the result of the fact that aggregate house price indices average away the idiosyncratic volatility in

Production Functions for Water Delivery Systems: Analysis and Estimation Using Dual Cost Function and Implicit Price Specifications

Science.gov (United States)

Teeples, Ronald; Glyer, David

1987-05-01

Both policy and technical analysis of water delivery systems have been based on cost functions that are inconsistent with or are incomplete representations of the neoclassical production functions of economics. We present a full-featured production function model of water delivery which can be estimated from a multiproduct, dual cost function. The model features implicit prices for own-water inputs and is implemented as a jointly estimated system of input share equations and a translog cost function. Likelihood ratio tests are performed showing that a minimally constrained, full-featured production function is a necessary specification of the water delivery operations in our sample. This, plus the model's highly efficient and economically correct parameter estimates, confirms the usefulness of a production function approach to modeling the economic activities of water delivery systems.

Stock price prediction using geometric Brownian motion

Science.gov (United States)

Farida Agustini, W.; Restu Affianti, Ika; Putri, Endah RM

2018-03-01

Geometric Brownian motion is a mathematical model for predicting the future price of stock. The phase that done before stock price prediction is determine stock expected price formulation and determine the confidence level of 95%. On stock price prediction using geometric Brownian Motion model, the algorithm starts from calculating the value of return, followed by estimating value of volatility and drift, obtain the stock price forecast, calculating the forecast MAPE, calculating the stock expected price and calculating the confidence level of 95%. Based on the research, the output analysis shows that geometric Brownian motion model is the prediction technique with high rate of accuracy. It is proven with forecast MAPE value ≤ 20%.

Symmetry in farm-retail price transmission: pork in Malaysia

OpenAIRE

Tey, (John) Yeong-Sheng

2009-01-01

This study intends to determine the farm-retail price transmission behaviors of pork in Malaysia to serve as a good implication for pork pricing system in Malaysia. Using data from January 1997 to December 2008, both the Houck and ECM approaches were found symmetric where a change in farm price of pork was observed to have similar change in retail price of pork in Malaysia. The price setting system of pork can therefore be further described by the estimated price transmission elasticities whe...

Price, tax and tobacco product substitution in Zambia.

Science.gov (United States)

Stoklosa, Michal; Goma, Fastone; Nargis, Nigar; Drope, Jeffrey; Chelwa, Grieve; Chisha, Zunda; Fong, Geoffrey T

2018-03-24

In Zambia, the number of cigarette users is growing, and the lack of strong tax policies is likely an important cause. When adjusted for inflation, levels of tobacco tax have not changed since 2007. Moreover, roll-your-own (RYO) tobacco, a less-costly alternative to factory-made (FM) cigarettes, is highly prevalent. We modelled the probability of FM and RYO cigarette smoking using individual-level data obtained from the 2012 and 2014 waves of the International Tobacco Control (ITC) Zambia Survey. We used two estimation methods: the standard estimation method involving separate random effects probit models and a method involving a system of equations (incorporating bivariate seemingly unrelated random effects probit) to estimate price elasticities of FM and RYO cigarettes and their cross-price elasticities. The estimated price elasticities of smoking prevalence are -0.20 and -0.03 for FM and RYO cigarettes, respectively. FM and RYO are substitutes; that is, when the price of one of the products goes up, some smokers switch to the other product. The effects are stronger for substitution from FM to RYO than vice versa. This study affirms that increasing cigarette tax with corresponding price increases could significantly reduce cigarette use in Zambia. Furthermore, reducing between-product price differences would reduce substitution from FM to RYO. Since RYO use is associated with lower socioeconomic status, efforts to decrease RYO use, including through tax/price approaches and cessation assistance, would decrease health inequalities in Zambian society and reduce the negative economic consequences of tobacco use experienced by the poor. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Assessment of external costs for transport project evaluation: Guidelines in some European countries

Energy Technology Data Exchange (ETDEWEB)

Petruccelli, Umberto, E-mail: umberto.petruccelli@unibas.it

2015-09-15

Many studies about the external costs generated by the transport system have been developed in the last twenty years. To standardize methodologies and assessment procedures to be used in the evaluation of the projects, some European countries recently have adopted specific guidelines that differ from each other in some aspects even sensibly. This paper presents a critical analysis of the British, Italian and German guidelines and is aimed at cataloguing the external cost types regarded and the assessment methods indicated as well as to highlight the differences of the results, in terms of applicability and reliability. The goal is to contribute to a European standardization process that would lead to the drafting of guidelines suited for all EU countries. - Highlights: • The analyzed guidelines agree on the methods to evaluate costs from air pollution, greenhouse gases and accidents. • They recommend respectively: dose-resp. approach; costs to reduce/permit emissions; whole direct, indirect and social costs. • For noise, DE guide indicates defensive expenditure or SP methods; IT guide, SP method; UK guide, the hedonic prices one. • For on territory impact, DE guide regards only the barrier effect; the IT one, also the soil consumption and system effects. • British guide proposes a qualitative methodology to estimate the impact on various landscapes and environments.

A Statistical Approach for Interval Forecasting of the Electricity Price

DEFF Research Database (Denmark)

Zhao, Jun Hua; Dong, Zhao Yang; Xu, Zhao

2008-01-01

the prediction interval is essential for estimating the uncertainty involved in the price and thus is highly useful for making generation bidding strategies and investment decisions. In this paper, a novel data mining-based approach is proposed to achieve two major objectives: 1) to accurately forecast the value......Electricity price forecasting is a difficult yet essential task for market participants in a deregulated electricity market. Rather than forecasting the value, market participants are sometimes more interested in forecasting the prediction interval of the electricity price. Forecasting...... of the electricity price series, which is widely accepted as a nonlinear time series; 2) to accurately estimate the prediction interval of the electricity price series. In the proposed approach, support vector machine (SVM) is employed to forecast the value of the price. To forecast the prediction interval, we...

House Prices, Geographical Mobility, and Unemployment

DEFF Research Database (Denmark)

Ingholt, Marcus Mølbak

2017-01-01

Geographical mobility correlates positively with house prices and negatively with unemployment over the U.S. business cycle. I present a DSGE model in which declining house prices and tight credit conditions impede the mobility of indebted workers. This reduces the workers’ cross-area competition...... for jobs, causing wages and unemployment to rise. A Bayesian estimation shows that this channel more than quadruples the response of unemployment to adverse housing market shocks. The estimation also shows that adverse housing market shocks caused the decline in mobility during the Great Recession. Absent...

Price Uncertainty and Optimal Hedging in the Agricultural Market

Directory of Open Access Journals (Sweden)

Nicolae ISTUDOR

2014-06-01

Full Text Available The increased volatility of the agricultural prices has detrimental effects on the economic welfare and raises concerns regarding poverty and malnutrition at a global level. Financial risk management can be an efficient solution for limiting the effects of international agricultural price volatility. The paper analyzes the behavior of the U.S. wheat and corn prices, emphasizing their highly volatile and unpredictable nature. Given the existence of the basis risk, the estimation of the optimal hedge ratio is needed in order to provide an efficient hedging strategy against price risks. The role of public authorities in this context can consist in promoting education in the fields of hedging and understanding the agricultural price volatility risk. We estimate static and time varying optimal hedge ratios for wheat and corn through several methods. Based on the out of sample hedging effectiveness given by the variance reduction, the methods are compared and the results show that the time varying hedge ratios estimated through rolling window OLS and GARCH methods outperform the static counterparts.

Prices and Price Setting

NARCIS (Netherlands)

R.P. Faber (Riemer)

2010-01-01

textabstractThis thesis studies price data and tries to unravel the underlying economic processes of why firms have chosen these prices. It focuses on three aspects of price setting. First, it studies whether the existence of a suggested price has a coordinating effect on the prices of firms.

Forecasting Long-Run Electricity Prices

International Nuclear Information System (INIS)

Hamm, Gregory; Borison, Adam

2006-01-01

Estimation of long-run electricity prices is extremely important but it is also very difficult because of the many uncertainties that will determine future prices, and because of the lack of sufficient historical and forwards data. The difficulty is compounded when forecasters ignore part of the available information or unnecessarily limit their thinking about the future. The authors present a practical approach that addresses these problems. (author)

Analyzing the Risks Embedded in Option Prices with rndfittool

DEFF Research Database (Denmark)

Barletta, Andrea; Santucci de Magistris, Paolo

2018-01-01

This paper introduces a new computational tool for the analysis of the risks embedded in a set of prices of European-style options. The software enables the estimation of the risk-neutral density (RND) from the observed option prices by means of orthogonal polynomial expansions. Orthogonal...... polynomials offer a viable alternative to more standard techniques based on interpolation and estimation of the second-order derivatives of option prices. The app rndfittool is available on GitHub and its usage is illustrated with examples based on real data....

Bayesian Option Pricing Framework with Stochastic Volatility for FX Data

Directory of Open Access Journals (Sweden)

Ying Wang

2016-12-01

Full Text Available The application of stochastic volatility (SV models in the option pricing literature usually assumes that the market has sufficient option data to calibrate the model’s risk-neutral parameters. When option data are insufficient or unavailable, market practitioners must estimate the model from the historical returns of the underlying asset and then transform the resulting model into its risk-neutral equivalent. However, the likelihood function of an SV model can only be expressed in a high-dimensional integration, which makes the estimation a highly challenging task. The Bayesian approach has been the classical way to estimate SV models under the data-generating (physical probability measure, but the transformation from the estimated physical dynamic into its risk-neutral counterpart has not been addressed. Inspired by the generalized autoregressive conditional heteroskedasticity (GARCH option pricing approach by Duan in 1995, we propose an SV model that enables us to simultaneously and conveniently perform Bayesian inference and transformation into risk-neutral dynamics. Our model relaxes the normality assumption on innovations of both return and volatility processes, and our empirical study shows that the estimated option prices generate realistic implied volatility smile shapes. In addition, the volatility premium is almost flat across strike prices, so adding a few option data to the historical time series of the underlying asset can greatly improve the estimation of option prices.

Testing the Efficacy of Alcohol Labels with Standard Drink Information and National Drinking Guidelines on Consumers' Ability to Estimate Alcohol Consumption.

Science.gov (United States)

Hobin, Erin; Vallance, Kate; Zuo, Fei; Stockwell, Tim; Rosella, Laura; Simniceanu, Alice; White, Christine; Hammond, David

2018-01-01

Despite the introduction of national drinking guidelines in Canada, there is limited public knowledge of them and low understanding of 'standard drinks (SDs)' which limits the likelihood of guidelines affecting drinking behaviour. This study tests the efficacy of alcohol labels with SD information and Canada's Low-Risk Drinking Guidelines (LRDGs) as compared to %ABV labels on consumers' ability to estimate alcohol intake. It also examines the label size and format that best supports adults' ability to make informed drinking choices. This research consisted of a between-groups experiment (n = 2016) in which participants each viewed one of six labels. Using an online survey, participants viewed an alcohol label and were asked to estimate: (a) the amount in a SD; (b) the number of SDs in an alcohol container and (c) the number of SDs to consume to reach the recommended daily limit in Canada's LRDG. Results indicated that labels with SD and LRDG information facilitated more accurate estimates of alcohol consumption and awareness of safer drinking limits across different beverage types (12.6% to 58.9% increase in accuracy), and labels were strongly supported among the majority (66.2%) of participants. Labels with SD and LRDG information constitute a more efficacious means of supporting accurate estimates of alcohol consumption than %ABV labels, and provide evidence to inform potential changes to alcohol labelling regulations. Further research testing labels in real-world settings is needed. Results indicate that the introduction of enhanced alcohol labels combining standard drink information and national drinking guidelines may be an effective way to improve drinkers' ability to accurately assess alcohol consumption and monitor intake relative to guidelines. Overall support for enhanced labels suggests probable acceptability of introduction at a population level. © The Author 2017. Medical Council on Alcohol and Oxford University Press. All rights reserved.

Jumps and stochastic volatility in oil prices: Time series evidence

International Nuclear Information System (INIS)

Larsson, Karl; Nossman, Marcus

2011-01-01

In this paper we examine the empirical performance of affine jump diffusion models with stochastic volatility in a time series study of crude oil prices. We compare four different models and estimate them using the Markov Chain Monte Carlo method. The support for a stochastic volatility model including jumps in both prices and volatility is strong and the model clearly outperforms the others in terms of a superior fit to data. Our estimation method allows us to obtain a detailed study of oil prices during two periods of extreme market stress included in our sample; the Gulf war and the recent financial crisis. We also address the economic significance of model choice in two option pricing applications. The implied volatilities generated by the different estimated models are compared and we price a real option to develop an oil field. Our findings indicate that model choice can have a material effect on the option values.

Effect of Price Determinants on World Cocoa Prices for Over the Last Three Decades: Error Correction Model (ECM Approach

Directory of Open Access Journals (Sweden)

Lya Aklimawati

2013-12-01

Full Text Available High  volatility  cocoa  price  movement  is  consequenced  by  imbalancing between power demand and power supply in commodity market. World economy expectation and market  liberalization would lead to instability on cocoa prices in  the  international  commerce.  Dynamic  prices  moving  erratically  influence the benefit  of market players, particularly  producers. The aim of this research is  (1  to  estimate  the  empirical  cocoa  prices  model  for  responding  market dynamics and (2 analyze short-term and long-term effect of price determinants variables  on cocoa prices.  This research  was  carried out by  analyzing  annualdata from 1980 to 2011, based on secondary data. Error correction mechanism (ECM  approach was  used  to  estimate the  econometric  model  of  cocoa  price.The  estimation  results  indicated  that  cocoa  price  was  significantly  affected  by exchange rate IDR-USD, world gross domestic product,  world inflation, worldcocoa production, world cocoa consumption, world cocoa stock and Robusta prices at varied significance level from 1 - 10%. All of these variables have a long run equilibrium relationship. In long run effect, world gross domestic product, world  cocoa  consumption  and  world  cocoa  stock  were  elastic  (E  >1,  while other  variables  were  inelastic  (E  <1.  Variables  that  affecting  cocoa  pricesin  short  run  equilibrium  were  exchange  rate  IDR-USD,  world  gross  domestic product,  world  inflation,  world  cocoa  consumption  and  world  cocoa  stock. The  analysis  results  showed  that  world  gross  domestic  product,  world  cocoa consumption  and  world  cocoa  stock  were  elastic  (E  >1  to  cocoa  prices  in short-term.  Whereas,  the  response  of  cocoa  prices  was  inelastic  to  change  of exchange rate IDR-USD and world inflation.Key words: Price

Price elasticities of alcohol demand: evidence from Russia.

Science.gov (United States)

Goryakin, Yevgeniy; Roberts, Bayard; McKee, Martin

2015-03-01

In this paper, we estimate price elasticities of demand of several types of alcoholic drinks, using 14 rounds of data from the Russia Longitudinal Monitoring Survey-HSE, collected from 1994 until 2009. We deal with potential confounding problems by taking advantage of a large number of control variables, as well as by estimating community fixed effect models. All in all, although alcohol prices do appear to influence consumption behaviour in Russia, in most cases the size of effect is modest. The finding that two particularly problematic drinks-cheap vodka and fortified wine-are substitute goods also suggests that increasing their prices may not lead to smaller alcohol consumption. Therefore, any alcohol pricing policies in Russia must be supplemented with other measures, such as restrictions on numbers of sales outlets or their opening times.

Alcohol Prices and Mortality Due to Liver Cirrhosis

Directory of Open Access Journals (Sweden)

Jon P. Nelson

2015-06-01

Full Text Available This study estimates a reduced-form regression model for mortality rates due to alcoholic liver diseases, with alcohol prices and income as explanatory variables. Panel data cover the years 2000-2010 for 21 member countries of the European Union. In the reduced form, prices affect mortality rates indirectly through the demand for alcohol, while income has potential direct and indirect effects. Country and time fixed effects are used to control for other factors that influence alcohol consumption and mortality. Special attention is paid to outliers in the data, and final results are based on the MS-estimator for robust regressions. Regression results for alcohol prices and income are sensitive to adjustments for stationary data and down-weighting of outliers and other influential data points. Final results indicate that alcohol prices do not affect mortality rates due to chronic liver diseases. Empirical results in the study do not lend support to broad price-based approaches to alcohol policy.

Estimating the Value of Price Risk Reduction in Energy Efficiency Investments in Buildings

Directory of Open Access Journals (Sweden)

Pekka Tuominen

2017-10-01

Full Text Available This paper presents a method for calculating the value of price risk reduction to a consumer that can be achieved with investments in energy efficiency. The value of price risk reduction is discussed to some length in general terms in the literature reviewed but, so far, no methodology for calculating the value has been presented. Here we suggest such a method. The problem of valuating price risk reduction is approached using a variation of the Black–Scholes model by considering a hypothetical financial instrument that a consumer would purchase to insure herself against unexpected price hikes. This hypothetical instrument is then compared with an actual energy efficiency investment that reaches the same level of price risk reduction. To demonstrate the usability of the method, case examples are calculated for typical single-family houses in Finland. The results show that the price risk entailed in household energy consumption can be reduced by a meaningful amount with energy efficiency investments, and that the monetary value of this reduction can be calculated. It is argued that this often-overlooked benefit of energy efficiency investments merits more consideration in future studies.

Price and inventory dynamics in petroleum product markets

International Nuclear Information System (INIS)

Considine, T.J.; Heo, Eunnyeong

2000-01-01

Unlike many studies of commodity inventory behavior, this paper estimates a model with endogenous spot and forward prices, inventories, production, and net imports. Our application involves markets for refined petroleum products in the United States. Our model is built around the supply and demand for storage. We estimate the model using Generalized Method of Moments and perform dynamic, simultaneous simulations to estimate the impacts of supply and demand shocks. Supply curves for the industry are inelastic and upward sloping. High inventory levels depress prices. Inventories fall in response to higher sales, consistent with production smoothing. Under higher input prices, refiners reduce their stocks of crude oil but increase their product inventories, consistent with cost smoothing. In some cases, imports of products are more variable than production or inventories. 25 refs

The real-time price elasticity of electricity

NARCIS (Netherlands)

Lijesen, M.G.

2007-01-01

The real-time price elasticity of electricity contains important information on the demand response of consumers to the volatility of peak prices. Despite the importance, empirical estimates of the real-time elasticity are hardly available. This paper provides a quantification of the real-time

Crude oil price dynamics: A study on effects of market expectation and strategic supply on price movements

Science.gov (United States)

Jin, Xin

Recent years have seen dramatic fluctuations in crude oil prices. This dissertation attempts to better understand price behavior. The first chapter studies the behavior of crude oil spot and futures prices. Oil prices, particularly spot and short-term futures prices, appear to have switched from I(0) to I(1) in early 2000s. To better understand this apparent change in persistence, a factor model of oil prices is proposed, where the prices are decomposed into long-term and short-term components. The change in the persistence behavior can be explained by changes in the relative volatility of the underlying components. Fitting the model to weekly data on WTI prices, the volatility of the persistent shocks increased substantially relative to other shocks. In addition, the risk premiums in futures prices have changed their signs and become more volatile. The estimated net marginal convenience yield using the model also shows changes in its behavior. These observations suggest that a dramatic fundamental change occurred in the period from 2002 to 2004 in the dynamics of the crude oil market. The second chapter explores the short-run price-inventory dynamics in the presence of different shocks. Classical competitive storage model states that inventory decision considers both current and future market condition, and thus interacts with spot and expected future spot prices. We study competitive storage holding in an equilibrium framework, focusing on the dynamic response of price and inventory to different shocks. We show that news shock generates response profile different from traditional contemporaneous shocks in price and inventory. The model is applied to world crude oil market, where the market expectation is estimated to experience a sharp change in early 2000s, together with a persisting constrained supply relative to demand. The expectation change has limited effect on crude oil spot price though. The world oil market structure has been studied extensively but no

Cross hedging and forward-contract pricing of electricity

International Nuclear Information System (INIS)

Woo, C.-K.; Hoang, K.; Horowitz, I.

2001-01-01

We consider the problem of an electric-power marketer offering a fixed-price forward contract to provide electricity that it purchases from a potentially volatile and unpredictable fledgling spot energy market. One option for the risk-averse marketer who wants to hedge against the spot-price volatility is to engage in cross hedging to reduce the contract's profit variance, and to determine the forward-contract price as a risk-adjusted price - the sum of a baseline price and a risk premium. We show how the marketer can estimate the spot-price relationship between two wholesale energy markets for the purpose of cross hedging, as well as the optimal hedge and the forward contract's baseline price and risk premium

Asymmetric adaptations to energy price changes

International Nuclear Information System (INIS)

Kuper, G.H.; Van Soest, D.P.

1999-01-01

The effectiveness of policies to reduce the use of energy depend on the elasticity of substitution between the various inputs and on the rate of technological progress. This paper presents a theoretical model emphasising energy investment characteristics of uncertainty and irreversibility that result in testable hypotheses concerning the relative values of substitution parameters and rates of technological change in periods of high and increasing energy prices and in periods of low prices. Estimation results for a panel of sectors of the Dutch economy show that the elasticity of substitution between energy and other inputs is low in periods of low energy prices, whereas it is significantly higher in the preceding period of high and increasing energy prices. Furthermore, energy-saving technological progress in periods of high and increasing energy prices is also significantly higher than if energy prices are low and falling. The regression results suggest that, due this asymmetric response of firms to changes in energy prices, taxing energy in the current period of low energy prices will not yield substantial reductions in energy use of Dutch industry. 21 refs

Meta-Analysis of the Oil Price Elasticity of the GDP for Policy Analysis: Documentation

Energy Technology Data Exchange (ETDEWEB)

Leiby, Paul Newsome [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Bowman, David Charles [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Oladosu, Gbadebo A. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Uria Martinez, Rocio [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Johnson, Megan M. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

2017-08-01

Given the important role of oil in economic activities, policy makers are interested in estimates of the potential damage to the economy from oil price shocks, particularly during periods of rapid and large increases that accompany severe shocks. Such estimates are needed to quantify the economic costs of oil price shocks, and to evaluate the potential benefits of alternative policy responses. Although research on the economic impacts of oil price shocks is extensive and has generally found that large increases in oil prices exert negative economic impacts, the range of estimates, summarized by the oil price elasticity of the GDP or other aggregate measure of economic activity, is very wide. There are also conditions under which the relationship between the oil price and the economy could be positive. The range of estimates of the oil price elasticity of the GDP for the United States is typified by averages from the studies of Hamilton (2005, 2012) and Kilian and Vigfusson (2014), in which the implied elasticities were -0.014 to - 0.069 and +0.004 to -0.052, respectively. We employ a meta-regression approach to systematically summarize available estimates of the oil price elasticity of the GDP for oil importing economies, and examine the role of key factors. The resulting regression model was used to estimate the oil price elasticity of the GDP for the United States. Based on this we estimate the mean elasticity for the United States at -0.0238, with a 68% confidence interval of -0.0075 to -0.0402, four quarters after a shock.

Study protocol: combining experimental methods, econometrics and simulation modelling to determine price elasticities for studying food taxes and subsidies (The Price ExaM Study).

Science.gov (United States)

Waterlander, Wilma E; Blakely, Tony; Nghiem, Nhung; Cleghorn, Christine L; Eyles, Helen; Genc, Murat; Wilson, Nick; Jiang, Yannan; Swinburn, Boyd; Jacobi, Liana; Michie, Jo; Ni Mhurchu, Cliona

2016-07-19

There is a need for accurate and precise food price elasticities (PE, change in consumer demand in response to change in price) to better inform policy on health-related food taxes and subsidies. The Price Experiment and Modelling (Price ExaM) study aims to: I) derive accurate and precise food PE values; II) quantify the impact of price changes on quantity and quality of discrete food group purchases and; III) model the potential health and disease impacts of a range of food taxes and subsidies. To achieve this, we will use a novel method that includes a randomised Virtual Supermarket experiment and econometric methods. Findings will be applied in simulation models to estimate population health impact (quality-adjusted life-years [QALYs]) using a multi-state life-table model. The study will consist of four sequential steps: 1. We generate 5000 price sets with random price variation for all 1412 Virtual Supermarket food and beverage products. Then we add systematic price variation for foods to simulate five taxes and subsidies: a fruit and vegetable subsidy and taxes on sugar, saturated fat, salt, and sugar-sweetened beverages. 2. Using an experimental design, 1000 adult New Zealand shoppers complete five household grocery shops in the Virtual Supermarket where they are randomly assigned to one of the 5000 price sets each time. 3. Output data (i.e., multiple observations of price configurations and purchased amounts) are used as inputs to econometric models (using Bayesian methods) to estimate accurate PE values. 4. A disease simulation model will be run with the new PE values as inputs to estimate QALYs gained and health costs saved for the five policy interventions. The Price ExaM study has the potential to enhance public health and economic disciplines by introducing internationally novel scientific methods to estimate accurate and precise food PE values. These values will be used to model the potential health and disease impacts of various food pricing policy

Study protocol: combining experimental methods, econometrics and simulation modelling to determine price elasticities for studying food taxes and subsidies (The Price ExaM Study

Directory of Open Access Journals (Sweden)

Wilma E. Waterlander

2016-07-01

Full Text Available Abstract Background There is a need for accurate and precise food price elasticities (PE, change in consumer demand in response to change in price to better inform policy on health-related food taxes and subsidies. Methods/Design The Price Experiment and Modelling (Price ExaM study aims to: I derive accurate and precise food PE values; II quantify the impact of price changes on quantity and quality of discrete food group purchases and; III model the potential health and disease impacts of a range of food taxes and subsidies. To achieve this, we will use a novel method that includes a randomised Virtual Supermarket experiment and econometric methods. Findings will be applied in simulation models to estimate population health impact (quality-adjusted life-years [QALYs] using a multi-state life-table model. The study will consist of four sequential steps: 1. We generate 5000 price sets with random price variation for all 1412 Virtual Supermarket food and beverage products. Then we add systematic price variation for foods to simulate five taxes and subsidies: a fruit and vegetable subsidy and taxes on sugar, saturated fat, salt, and sugar-sweetened beverages. 2. Using an experimental design, 1000 adult New Zealand shoppers complete five household grocery shops in the Virtual Supermarket where they are randomly assigned to one of the 5000 price sets each time. 3. Output data (i.e., multiple observations of price configurations and purchased amounts are used as inputs to econometric models (using Bayesian methods to estimate accurate PE values. 4. A disease simulation model will be run with the new PE values as inputs to estimate QALYs gained and health costs saved for the five policy interventions. Discussion The Price ExaM study has the potential to enhance public health and economic disciplines by introducing internationally novel scientific methods to estimate accurate and precise food PE values. These values will be used to model the potential

Implicit price of mussel characteristics in the auction market

DEFF Research Database (Denmark)

Nguyen, Thong Tien

2012-01-01

This study explores desired and undesired characteristics of mussels in wholesale market by applying hedonic price analysis. Transaction data in auction market in Yerseke, the Netherlands, was used to estimate linear and semi-log price models. Meat content and size count, which are measured...... of raw mussels are significant discounting factors on the price. The study also investigates the impact of farming locations and seasons on the price and the price trend during the period of 2002–2009....

The effects of the energy price reform on households consumption in Iran

International Nuclear Information System (INIS)

Moshiri, Saeed

2015-01-01

The substantial subsidizing of energy prices over the years has led to high energy consumption, inefficiencies, fiscal pressures, and environmental problems in Iran. To address the increasing socio-economic problems associated with the energy subsidies, the government embarked on an aggressive energy price reform through which energy subsidies were removed and cash handouts were given to all households in 2010. In this paper, I analyze the effectiveness of the energy price reform in Iran by estimating energy demand elasticities for households in different income groups. I apply a two-stage consumer optimization model and estimate the system of energy expenditures shares using the household budget survey data for the period 2001–2008. The results show that the overall price elasticities of demand are small, but income elasticities are close to one. The results also indicate heterogeneous responses to energy price and income changes in different income groups. Specifically, the urban households show stronger response to price changes, but rural households, particularly mid-income households, to income changes. These findings suggest that the current policy of price increases would not solely be able to reduce energy consumption and, therefore, it should be geared towards increasing energy efficiency through a series of price and non-price measures. - Highlights: • The effectiveness of the recent energy price reform in Iran is analyzed. • Energy demand elasticities for households in different income groups are estimated. • A two-stage optimization model was applied to estimate the system of equations using micro-data for 2001–2008. • The price elasticities are small and income elasticities rather large, but responses are heterogeneous. • A price and non-price reform policy package is needed for different income groups and regions

Expectations, learning, and the changing relationship between oil prices and the macroeconomy

Energy Technology Data Exchange (ETDEWEB)

Milani, Fabio [Department of Economics, 3151 Social Science Plaza, University of California, Irvine, CA 92697-5100 (United States)

2009-11-15

This paper estimates a structural general equilibrium model to investigate the changing relationship between the oil price and macroeconomic variables. The oil price, through the role of oil in production and consumption, affects aggregate demand and supply in the model. The assumption of rational expectations is relaxed in favor of learning. Oil prices, therefore, affect the economy through an additional channel, i.e. through their effect on the formation of agents' beliefs. The estimated learning dynamics indicates that economic agents' perceptions about the effects of oil prices on the economy have changed over time: oil prices were perceived to have large effects on output and inflation in the 1970s, but only milder effects after the mid-1980s. Since expectations play a large role in the determination of output and inflation, the effects of oil price increases on expectations can magnify the response of macroeconomic variables to oil price shocks. In the estimated model, in fact, the implied responses of output and inflation to oil price shocks were much more pronounced in the 1970s than in 2008. Therefore, through the time variation in the impact of oil prices on beliefs, the paper can successfully explain the observed weakening of the effects of oil price shocks on real activity and inflation. (author)

Expectations, learning, and the changing relationship between oil prices and the macroeconomy

International Nuclear Information System (INIS)

Milani, Fabio

2009-01-01

This paper estimates a structural general equilibrium model to investigate the changing relationship between the oil price and macroeconomic variables. The oil price, through the role of oil in production and consumption, affects aggregate demand and supply in the model. The assumption of rational expectations is relaxed in favor of learning. Oil prices, therefore, affect the economy through an additional channel, i.e. through their effect on the formation of agents' beliefs. The estimated learning dynamics indicates that economic agents' perceptions about the effects of oil prices on the economy have changed over time: oil prices were perceived to have large effects on output and inflation in the 1970s, but only milder effects after the mid-1980s. Since expectations play a large role in the determination of output and inflation, the effects of oil price increases on expectations can magnify the response of macroeconomic variables to oil price shocks. In the estimated model, in fact, the implied responses of output and inflation to oil price shocks were much more pronounced in the 1970s than in 2008. Therefore, through the time variation in the impact of oil prices on beliefs, the paper can successfully explain the observed weakening of the effects of oil price shocks on real activity and inflation. (author)

Antitrust Enforcement Under Endogenous Fines and Price-Dependent Detection Probabilities

NARCIS (Netherlands)

Houba, H.E.D.; Motchenkova, E.; Wen, Q.

2010-01-01

We analyze the effectiveness of antitrust regulation in a repeated oligopoly model in which both fines and detection probabilities depend on the cartel price. Such fines are closer to actual guidelines than the commonly assumed fixed fines. Under a constant detection probability, we confirm the

The price of environmental pollution

International Nuclear Information System (INIS)

Bleijenberg, A.N.; Davidson, M.D.

1996-11-01

There is no market price for environmental pollution, simply because of the fact that there is not a market for the environment. However, it is possible to calculate so-called shadow prices for environmental pollution. The calculation method can be summarized as follows: determine the price that exist when there would be a market for the environment. In many cases the calculation must be based on environmental targets as determined by the government. Based on that method and on available data and information, shadow prices are estimated for 18 different pollutants: CO2, CO, CH4, SO2, NH3, NOx, volatile organic materials, final wastes, phosphates, nitrates, COD, fine dust, toluene, benzene, benzopyrene (to air and water), zinc (to water), and copper (to water). 7 figs., 5 tabs., 43 refs

Analysis Of Coppers Market And Price-Focus On The Last Decades Change And Its Future Trend

OpenAIRE

Eugie Kabwe; Wang Yiming

2015-01-01

Abstract it is important to analyse the major players within a copper supply chain as well as current market dynamics relevant international guidelines major impacts affecting the sustainability of the whole system and policy drivers affecting its price on the global market. Focusis on understanding major and provisional factors affecting copper price on themarketlong-term copper prices are determined by the fundamentals of supply and demand. Short term however are driven by financial market...

What U.S. Data Should be Used to Measure the Price Elasticity of Demand for Alcohol?*

Science.gov (United States)

Ruhm, Christopher J.; Jones, Alison Snow; McGeary, Kerry Anne; Kerr, William C.; Terza, Joseph V.; Greenfield, Thomas K.; Pandian, Ravi S.

2012-01-01

This paper examines how estimates of the price elasticity of demand for beer vary with the choice of alcohol price series examined. Our most important finding is that the commonly used ACCRA price data are unlikely to reliably indicate alcohol demand elasticities—estimates obtained from this source vary drastically and unpredictably. As an alternative, researchers often use beer taxes to proxy for alcohol prices. While the estimated beer taxes elasticities are more stable, there are several problems with using taxes, including difficulties in accounting for cross-price effects. We believe that the most useful estimates reported in this paper are obtained using annual Uniform Product Code (UPC) “barcode” scanner data on grocery store alcohol prices. These estimates suggest relatively low demand elasticity, probably around −0.3, with evidence that the elasticities are considerably overstated in models that control for beer but not wine or spirits prices. PMID:23022631

Is youth smoking responsive to cigarette prices? Evidence from low- and middle-income countries.

Science.gov (United States)

Kostova, Deliana; Ross, Hana; Blecher, Evan; Markowitz, Sara

2011-11-01

To estimate the price elasticity of cigarette demand among youth in low- and middle-income countries (LMIC). The Global Youth Tobacco Survey was used to obtain data on the smoking behaviour of 315,353 adolescents from 17 LMIC. Two-part model of cigarette demand with country fixed effects. The first part estimates the impact of prices on smoking participation while the second part estimates the impact of prices on the number of cigarettes smoked among current smokers. Besides controlling for individual characteristics such as Age, Gender, Parental Smoking and availability of Pocket Money, the authors control for confounding environmental factors such as anti-smoking sentiment, the prevalence of cigarette advertising and anti-tobacco media messAges, and ease of purchasing cigarettes. All countries in this study are represented with at least two observations over time, which allows us to control for unobserved country characteristics and/or policies that may influence smoking patterns within countries. Cigarette price is an important determinant of smoking. The estimated price elasticity of smoking participation is -0.74, and the estimated price elasticity of conditional cigarette demand is approximately -1.37. The total price elasticity of cigarette demand is -2.11, implying that an increase in price of 10% would reduce youth cigarette consumption by 21.1% at the mean.

7 CFR 1000.50 - Class prices, component prices, and advanced pricing factors.

Science.gov (United States)

2010-01-01

... 7 Agriculture 9 2010-01-01 2009-01-01 true Class prices, component prices, and advanced pricing... advanced pricing factors. Class prices per hundredweight of milk containing 3.5 percent butterfat, component prices, and advanced pricing factors shall be as follows. The prices and pricing factors described...

Index options : Pricing, implied densities and returns

NARCIS (Netherlands)

Boes, M.J.

2006-01-01

Chapter 2 gives an overview of the literature that is directly related to the topics studied in this thesis. In Chapter 3 the impact of overnight periods on option prices is examined by estimating an option pricing model that takes overnight closures of exchanges explicitly into account. Chapter 4

State of the art in the estimation of energy prices in the spot market

International Nuclear Information System (INIS)

Botero B, Sergio; Cano C, Jovan A

2007-01-01

Since the start energy markets deregulation in the world, several spot market (short term) price prediction methods have been developed? this article identifies and compares the main methods of prediction used in Colombia and other international markets. With this review it is possible to determine the state of the knowledge in the specific subject and then to look for the development of new forecasting techniques that can contribute to the solution of this problem. The prediction horizon is something that must be taken into account in the review of the several techniques, given that both the magnitude of the final model of estimation, and the time series treatment type, depend on this horizon.

A rough multi-factor model of electricity spot prices

International Nuclear Information System (INIS)

Bennedsen, Mikkel

2017-01-01

We introduce a new continuous-time mathematical model of electricity spot prices which accounts for the most important stylized facts of these time series: seasonality, spikes, stochastic volatility, and mean reversion. Empirical studies have found a possible fifth stylized fact, roughness, and our approach explicitly incorporates this into the model of the prices. Our setup generalizes the popular Ornstein–Uhlenbeck-based multi-factor framework of and allows us to perform statistical tests to distinguish between an Ornstein–Uhlenbeck-based model and a rough model. Further, through the multi-factor approach we account for seasonality and spikes before estimating – and making inference on – the degree of roughness. This is novel in the literature and we present simulation evidence showing that these precautions are crucial for accurate estimation. Lastly, we estimate our model on recent data from six European energy exchanges and find statistical evidence of roughness in five out of six markets. As an application of our model, we show how, in these five markets, a rough component improves short term forecasting of the prices. - Highlights: • Statistical modeling of electricity spot prices • Multi-factor decomposition • Roughness • Electricity price forecasting

Cross hedging and forward-contract pricing of electricity

Energy Technology Data Exchange (ETDEWEB)

Woo, C.-K.; Hoang, K. [Energy and Environmental Economics, Inc., 353 Sacramento Street, Suite 1700, 94111 San Francisco, CA (United States); Horowitz, I. [Decision and Information Sciences, Warrington College of Business Administration, University of Florida, 32611 Gainesville, FL (United States)

2001-01-01

We consider the problem of an electric-power marketer offering a fixed-price forward contract to provide electricity that it purchases from a potentially volatile and unpredictable fledgling spot energy market. One option for the risk-averse marketer who wants to hedge against the spot-price volatility is to engage in cross hedging to reduce the contract's profit variance, and to determine the forward-contract price as a risk-adjusted price - the sum of a baseline price and a risk premium. We show how the marketer can estimate the spot-price relationship between two wholesale energy markets for the purpose of cross hedging, as well as the optimal hedge and the forward contract's baseline price and risk premium.

[Competition and prices in the Mexican pharmaceutical market].

Science.gov (United States)

Molina-Salazar, Raúl E; González-Marín, Eloy; Carbajal-de Nova, Carolina

2008-01-01

The forms of market competition define prices. The pharmaceutical market contains submarkets with different levels of competition; on the one hand are the innovating products with patents, and on the other, generic products with or without trade names. Innovating medicines generally have monopolistic prices, but when the patents expire prices drop because of competition from therapeutic alternatives. The trade name makes it easier to maintain monopolistic prices. In Mexico, medicine prices in the private market are high--according to aggregated estimates and prices for specific medicines--which reflect the limitations of pharmaceutical market competition and the power of the trade name. The public segment enjoys competitive prices using the WHO strategy for essential medicines on the basis of the Essential List.

Evaluating Pricing Strategy Using e-Commerce Data: Evidence and Estimation Challenges

OpenAIRE

Ghose, Anindya; Sundararajan, Arun

2006-01-01

As Internet-based commerce becomes increasingly widespread, large data sets about the demand for and pricing of a wide variety of products become available. These present exciting new opportunities for empirical economic and business research, but also raise new statistical issues and challenges. In this article, we summarize research that aims to assess the optimality of price discrimination in the software industry using a large e-commerce panel data set gathered from Amazon.com. We describ...

Are lower income smokers more price sensitive?: the evidence from Korean cigarette tax increases.

Science.gov (United States)

Choi, Seng Eun

2016-03-01

The cigarette excise taxes and the price of a typical pack of cigarettes in Korea have not increased since 2005, and effective tax rate as a fraction of price and real price of cigarettes have both been falling. As smoking prevalence is higher among lower income people than among higher income people in Korea, the regressivity of cigarette excise taxes is often cited as a barrier to tobacco tax and price policy. While studies in several other high-income countries have shown that higher income individuals are less price sensitive, few studies have examined the differential impact of cigarette tax increases by income group in Korea. Most of the Korean literature has estimated the demand for cigarettes using time-series aggregate sales data or household level survey data, which record household cigarette expenditures rather than individual cigarette consumption. Studies using survey data often lack time-series variation and estimate cigarette demand using household expenditure data, while studies using time-series aggregate sales data lack cross-sectional variation. I examine differences in the effects of cigarette price on the cigarette consumption of various income groups using individual-level cigarette consumption records from the Korea National Health and Nutrition Examination Survey (KHNNES). I also analyse the implications of cigarette taxes and price increases on the relative tax burdens of different income groups. I use pooled data from the KNHNES for the 1998-2011 period to estimate the price elasticity of cigarette consumption of four income groups. Treating cigarette consumption as a latent variable, I employ an econometric procedure that corrects for non-random sample selection, or the fact that some non-smokers might have smoked at a low enough price, and estimate the price elasticity of cigarette consumption by income group. The estimated price elasticities include the responsiveness of potential smokers as well as current smokers. Lower income Korean

Is there an asymmetry in the response of diesel and petrol prices to crude oil price changes? Evidence from New Zealand

International Nuclear Information System (INIS)

Liu, Ming-Hua; Margaritis, Dimitris; Tourani-Rad, Alireza

2010-01-01

This paper examines how pre-tax petrol and diesel prices in New Zealand respond to changes in crude oil prices using an asymmetric error correction model. Our results show that oil companies adjust diesel prices upwards faster than they adjust them downwards, and the difference is statistically significant. However we find no statistical evidence for an asymmetry in the adjustment of petrol prices even though the magnitude of estimated coefficients suggests a faster response to rising prices. As diesel pricing is not as competitive as petrol pricing, calls for further government actions and monitoring of the oil market may be justified. Our findings also have important implications for the conduct of monetary policy as the pass-through of crude oil price changes can affect cost-push inflation. (author)

Price and income elasticities of residential energy demand in Germany

International Nuclear Information System (INIS)

Schulte, Isabella; Heindl, Peter

2017-01-01

We apply a quadratic expenditure system to estimate price and expenditure elasticities of residential energy demand (electricity and heating) in Germany. Using official expenditure data from 1993 to 2008, we estimate an expenditure elasticity for electricity of 0.3988 and of 0.4055 for space heating. The own price elasticity for electricity is −0.4310 and −0.5008 in the case of space heating. Disaggregation of households by expenditure and socio-economic composition reveals that the behavioural response to energy price changes is weaker (stronger) for low-income (top-income) households. There are considerable economies of scale in residential energy use but scale effects are not well approximated by the new OECD equivalence scale. Real increases in energy prices show a regressive pattern of incidence, implying that the welfare consequences of direct energy taxation are larger for low income households. The application of zero-elasticities in assessments of welfare consequences of energy taxation strongly underestimates potential welfare effects. The increase in inequality is 22% smaller when compared to the application of disaggregated price and income elasticities as estimated in this paper. - Highlights: • We estimate price, income, and expenditure elasticities for residential energy demand in Germany. • We differentiate elasticities by income groups and household type. • Electricity and space heating are necessary goods since the expenditure elasticities are smaller than unity. • Low-income households show a weaker reaction to changing prices when compared to high-income households. • Direct energy taxation has regressive effects, meaning that larger burdens fall upon low-income households.

Emission allowances -- Long-term price trend

International Nuclear Information System (INIS)

Lennox, F.H.

1994-01-01

Estimated trends in emission allowance (EA) values have been of interest to all those affected by the Clean Air Act Amendments of 1990 since it became law in 1990. The authors published estimates of the values of EAs in December 1991, and revised their estimate in November 1992. The summary trends of the 1992 estimate is shown here. General estimates such as these are no longer useful. Everyone directly involved in complying with the Act or in buying and selling allowances has developed their own outlook on EA values. Many recent trades have been publicized. The prices from the first auction are also well known. Therefore this article is concerned only with what might happening the long-run. Once Phase 2 compliance is essentially complete and emissions roughly match Emission Allowance allocations of some 9.8 million tons annually, what pressures will there be on prices? What will be the direction of values after Phase 2 is in balance?

IDENTIFYING PRODUCT AND PRICE STRATEGIES FOR DESIGNING TRANSACTIONAL BANKING PACKAGES ADDRESSED TO SMES (CONSIDERATIONS

Directory of Open Access Journals (Sweden)

Giuca Simona-Mihaela

2014-07-01

Full Text Available The current paper has the aim to provide guidelines for designing efficient product and price strategies, through proposed business cases which could be used especially for banking products addressed to SMEs. While identifying the optimal product and price strategy and designing the product catalogue structure, the marketing specialist should definitely consider existing portfolio behaviour and estimate the growing potential (if possible, overall portfolio, with focus on accurately defining the additional impact of the newly proposed product/ products. A business case contains estimations for results to be generated by products to be launched or optimized. This paper presents complex schemes for business case scenarios for migration of existing portfolio to the new products, but also considers new clients acquisition based on important features of the products. The pricing strategy is not a simple task to manage. Especially when speaking about transactional packages (for which the price is lower than separate services included, some segments or clusters may generate loss to the bank if they already used the services at a higher price than the one of the package. Therefore, the decision of setting up specific prices needs to be based on an accurate and complex analysis, as presented in current paper. The assumptions used in a business case need to be relevant for the entire process of designing and launching a product, therefore they can always be adjusted for better calculation of the impact. No matter if the assumptions and prices remain as in the initial proposal or not, the steps to be followed are the same. Segmentation also plays an important role in designing the product strategy, since the target for a product or product catalogue can be represented by a segment, a sub segment or a cluster of many segments. Not always the initial segmentation represents the clustering for the product strategy. Sometimes, behaviour of existing clients

Hospital prices and market structure in the hospital and insurance industries.

Science.gov (United States)

Moriya, Asako S; Vogt, William B; Gaynor, Martin

2010-10-01

There has been substantial consolidation among health insurers and hospitals, recently, raising questions about the effects of this consolidation on the exercise of market power. We analyze the relationship between insurer and hospital market concentration and the prices of hospital services. We use a national US dataset containing transaction prices for health care services for over 11 million privately insured Americans. Using three years of panel data, we estimate how insurer and hospital market concentration are related to hospital prices, while controlling for unobserved market effects. We find that increases in insurance market concentration are significantly associated with decreases in hospital prices, whereas increases in hospital concentration are non-significantly associated with increases in prices. A hypothetical merger between two of five equally sized insurers is estimated to decrease hospital prices by 6.7%.

The role of internal reference prices in consumers' willingness to pay judgments: Thaler's Beer Pricing Task revisited.

Science.gov (United States)

Ranyard, R; Charlton, J P; Williamson, J

2001-02-01

Alternative reference prices, either displayed in the environment (external) or recalled from memory (internal) are known to influence consumer judgments and decisions. In one line of previous research, internal reference prices have been defined in terms of general price expectations. However, Thaler (Marketing Science 4 (1985) 199; Journal of Behavioral Decision Making 12 (1999) 183) defined them as fair prices expected from specific types of seller. Using a Beer Pricing Task, he found that seller context had a substantial effect on willingness to pay, and concluded that this was due to specific internal reference prices evoked by specific contexts. In a think aloud study using the same task (N = 48), we found only a marginal effect of seller context. In a second study using the Beer Pricing Task and seven analogous ones (N = 144), general internal reference prices were estimated by asking people what they normally paid for various commodities. Both general internal reference prices and seller context influenced willingness to pay, although the effect of the latter was again rather small. We conclude that general internal reference prices have a greater impact in these scenarios than specific ones, because of the lower cognitive load involved in their storage and retrieval.

The price elasticity of demand for heroin: Matched longitudinal and experimental evidence.

Science.gov (United States)

Olmstead, Todd A; Alessi, Sheila M; Kline, Brendan; Pacula, Rosalie Liccardo; Petry, Nancy M

2015-05-01

This paper reports estimates of the price elasticity of demand for heroin based on a newly constructed dataset. The dataset has two matched components concerning the same sample of regular heroin users: longitudinal information about real-world heroin demand (actual price and actual quantity at daily intervals for each heroin user in the sample) and experimental information about laboratory heroin demand (elicited by presenting the same heroin users with scenarios in a laboratory setting). Two empirical strategies are used to estimate the price elasticity of demand for heroin. The first strategy exploits the idiosyncratic variation in the price experienced by a heroin user over time that occurs in markets for illegal drugs. The second strategy exploits the experimentally induced variation in price experienced by a heroin user across experimental scenarios. Both empirical strategies result in the estimate that the conditional price elasticity of demand for heroin is approximately -0.80. Copyright © 2015 Elsevier B.V. All rights reserved.

The price elasticity of demand for heroin: matched longitudinal and experimental evidence#

Science.gov (United States)

Olmstead, Todd A.; Alessi, Sheila M.; Kline, Brendan; Pacula, Rosalie Liccardo; Petry, Nancy M.

2015-01-01

This paper reports estimates of the price elasticity of demand for heroin based on a newly constructed dataset. The dataset has two matched components concerning the same sample of regular heroin users: longitudinal information about real-world heroin demand (actual price and actual quantity at daily intervals for each heroin user in the sample) and experimental information about laboratory heroin demand (elicited by presenting the same heroin users with scenarios in a laboratory setting). Two empirical strategies are used to estimate the price elasticity of demand for heroin. The first strategy exploits the idiosyncratic variation in the price experienced by a heroin user over time that occurs in markets for illegal drugs. The second strategy exploits the experimentally-induced variation in price experienced by a heroin user across experimental scenarios. Both empirical strategies result in the estimate that the conditional price elasticity of demand for heroin is approximately −0.80. PMID:25702687

2011-12 National Postsecondary Student Aid Study (NPSAS:12). Price Estimates for Attending Postsecondary Education Institutions. First Look. NCES 2014-166

Science.gov (United States)

Simone, Sean; Radwin, David; Wine, Jennifer; Siegel, Peter; Bryan, Michael

2013-01-01

This First Look publication provides price estimates for attending postsecondary education institutions using data from the 2011-12 National Postsecondary Student Aid Study (NPSAS:12), the most comprehensive, nationally representative survey of student financing of postsecondary education in the United States. The survey includes about 95,000…

ELMO model predicts the price of electric power

International Nuclear Information System (INIS)

Antila, H.

2001-01-01

Electrowatt-Ekono has developed a new model, by which it is possible to make long-term prognoses on the development of electricity prices in the Nordic Countries. The ELMO model can be used as an analysis service of the electricity markets and estimation of the profitability of long-term power distribution contracts with different scenarios. It can also be applied for calculation of technical and economical fundamentals for new power plants, and for estimation of the effects of different taxation models on the emissions of power generation. The model describes the whole power generation system, the power and heat consumption and transmission. The Finnish power generation system is based on the Electrowatt-Ekono's boiler database by combining different data elements. Calculation is based on the assumption that the Nordic power generation system is used optimally, and that the production costs are minimised. In practise the effectively operated electricity markets ensure the optimal use of the production system. The market area to be described consists of Finland and Sweden. The spot prices have long been the same. Norway has been treated as a separate market area. The most potential power generation system, the power consumption and the power transmission system are presumed for the target year during a normal rainfall situation. The basic scenario is calculated on the basis of the preconditional data. The calculation is carried out on hourly basis, which enables the estimation of the price variation of electric power between different times during the day and seasons. The system optimises the power generation on the basis of electricity and heat consumption curves and fuel prices. The result is an hourly limit price for electric power. Estimates are presented as standard form reports. Prices are presented as average annuals, in the seasonal base, and in hourly or daily basis for different seasons

Effect of Price Determinants on World Cocoa Prices for Over the Last Three Decades: Error Correction Model (ECM) Approach

OpenAIRE

Lya Aklimawati; Teguh Wahyudi

2013-01-01

High  volatility  cocoa  price  movement  is  consequenced  by  imbalancing between power demand and power supply in commodity market. World economy expectation and market  liberalization would lead to instability on cocoa prices in  the  international  commerce.  Dynamic  prices  moving  erratically  influence the benefit  of market players, particularly  producers. The aim of this research is  (1)  to  estimate  the  empirical  cocoa  prices  model  for  responding  market dynamics and (2) ...

What U.S. data should be used to measure the price elasticity of demand for alcohol?

Science.gov (United States)

Ruhm, Christopher J; Jones, Alison Snow; McGeary, Kerry Anne; Kerr, William C; Terza, Joseph V; Greenfield, Thomas K; Pandian, Ravi S

2012-12-01

This paper examines how estimates of the price elasticity of demand for beer vary with the choice of alcohol price series examined. Our most important finding is that the commonly used ACCRA price data are unlikely to reliably indicate alcohol demand elasticities-estimates obtained from this source vary drastically and unpredictably. As an alternative, researchers often use beer taxes to proxy for alcohol prices. While the estimated beer taxes elasticities are more stable, there are several problems with using taxes, including difficulties in accounting for cross-price effects. We believe that the most useful estimates reported in this paper are obtained using annual Uniform Product Code (UPC) "barcode" scanner data on grocery store alcohol prices. These estimates suggest relatively low demand elasticity, probably around -0.3, with evidence that the elasticities are considerably overstated in models that control for beer but not wine or spirits prices. Copyright © 2012 Elsevier B.V. All rights reserved.

Are Alcohol Taxation and Pricing Policies Regressive? Product-Level Effects of a Specific Tax and a Minimum Unit Price for Alcohol.

Science.gov (United States)

Vandenberg, Brian; Sharma, Anurag

2016-07-01

To compare estimated effects of two policy alternatives, (i) a minimum unit price (MUP) for alcohol and (ii) specific (per-unit) taxation, upon current product prices, per capita spending (A$), and per capita consumption by income quintile, consumption quintile and product type. Estimation of baseline spending and consumption, and modelling policy-to-price and price-to-consumption effects of policy changes using scanner data from a panel of demographically representative Australian households that includes product-level details of their off-trade alcohol spending (n = 885; total observations = 12,505). Robustness checks include alternative price elasticities, tax rates, minimum price thresholds and tax pass-through rates. Current alcohol taxes and alternative taxation and pricing policies are not highly regressive. Any regressive effects are small and concentrated among heavy consumers. The lowest-income consumers currently spend a larger proportion of income (2.3%) on alcohol taxes than the highest-income consumers (0.3%), but the mean amount is small in magnitude [A$5.50 per week (95%CI: 5.18-5.88)]. Both a MUP and specific taxation will have some regressive effects, but the effects are limited, as they are greatest for the heaviest consumers, irrespective of income. Among the policy alternatives, a MUP is more effective in reducing consumption than specific taxation, especially for consumers in the lowest-income quintile: an estimated mean per capita reduction of 11.9 standard drinks per week (95%CI: 11.3-12.6). Policies that increase the cost of the cheapest alcohol can be effective in reducing alcohol consumption, without having highly regressive effects. © The Author 2015. Medical Council on Alcohol and Oxford University Press. All rights reserved.

Negotiation of coal price in 1987

Energy Technology Data Exchange (ETDEWEB)

Chimura, Akira

1987-12-01

Price and amount of coking coal for the fiscal year 1987 was announced. Contracted coals were 5 types with Australia and 4 types with Canada by end Jan, 1987. Average price came down from 47.72 US dollar/t to 43.57, i.e., 4.15 US dollar/t price decline to the previous year. In addition, the number of the branded coal are negotiated with Australia is 23 cases, 5 brands with Canada, 1 with South Australia, 2 with USSR, and 3 with China. General trend of the price is as follows: Coking coal price is influenced by the decrease of the Japanese steel production as well as the world-wide surplus of coal, and all import prices have gone down except semi-caking coal of USA. Price level is very high in USA and Canada, but is low in Australia and others. Recently, strikes are frequent in South Africa and Canada; profit of coal mines is coming down; US dollar rate is sinking; contract quantity is shrinking; these give an estimate that both general coal and coking coal prices will not so easily go down further. (10 tabs)

Estimating the volatility of electricity prices: The case of the England and Wales wholesale electricity market

International Nuclear Information System (INIS)

Tashpulatov, Sherzod N.

2013-01-01

Price fluctuations that partially comove with demand are a specific feature inherent to liberalized electricity markets. The regulatory authority in Great Britain, however, believed that sometimes electricity prices were significantly higher than what was expected and, therefore, introduced price-cap regulation and divestment series. In this study, I analyze how the introduced institutional changes and regulatory reforms affected the dynamics of daily electricity prices in the England and Wales wholesale electricity market during 1990–2001. This research finds that the introduction of price-cap regulation did achieve the goal of lowering the price level at the cost of higher price volatility. Later, the first series of divestments is found to be successful at lowering price volatility, which however happens at the cost of a higher price level. Finally, this study also documents that the second series of divestments was more successful at lowering both the price level and volatility. - Author-Highlights: • The impact of regulation on the dynamics of electricity prices is examined. • Price-cap regulation has decreased the level at the cost of higher volatility. • The first series of divestments has reversed the trade-off. • The reversed trade-off is explained as an indication of tacit collusion. • The second series of divestments is found generally successful

In the Right Ballpark? Assessing the Accuracy of Net Price Calculators

Science.gov (United States)

Anthony, Aaron M.; Page, Lindsay C.; Seldin, Abigail

2016-01-01

Large differences often exist between a college's sticker price and net price after accounting for financial aid. Net price calculators (NPCs) were designed to help students more accurately estimate their actual costs to attend a given college. This study assesses the accuracy of information provided by net price calculators. Specifically, we…

Rising gasoline prices increase new motorcycle sales and fatalities.

Science.gov (United States)

Zhu, He; Wilson, Fernando A; Stimpson, Jim P; Hilsenrath, Peter E

2015-12-01

We examined whether sales of new motorcycles was a mechanism to explain the relationship between motorcycle fatalities and gasoline prices. The data came from the Motorcycle Industry Council, Energy Information Administration and Fatality Analysis Reporting System for 1984-2009. Autoregressive integrated moving average (ARIMA) regressions estimated the effect of inflation-adjusted gasoline price on motorcycle sales and logistic regressions estimated odds ratios (ORs) between new and old motorcycle fatalities when gasoline prices increase. New motorcycle sales were positively correlated with gasoline prices (r = 0.78) and new motorcycle fatalities (r = 0.92). ARIMA analysis estimated that a US$1 increase in gasoline prices would result in 295,000 new motorcycle sales and, consequently, 233 new motorcycle fatalities. Compared to crashes on older motorcycle models, those on new motorcycles were more likely to be young riders, occur in the afternoon, in clear weather, with a large engine displacement, and without alcohol involvement. Riders on new motorcycles were more likely to be in fatal crashes relative to older motorcycles (OR 1.14, 95 % confidence interval (CI) 1.02-1.28) when gasoline prices increase. Our findings suggest that, in response to increasing gasoline prices, people tend to purchase new motorcycles, and this is accompanied with significantly increased crash risk. There are several policy mechanisms that can be used to lower the risk of motorcycle crash injuries through the mechanism of gas prices and motorcycle sales such as raising awareness of motorcycling risks, enhancing licensing and testing requirements, limiting motorcycle power-to-weight ratios for inexperienced riders, and developing mandatory training programs for new riders.

Booms, busts and behavioural heterogeneity in stock prices

NARCIS (Netherlands)

Hommes, C.; in 't Veld, D.

2014-01-01

The global financial crisis indicated the limitations of representative rational agent models for asset pricing solely based on economic fundamentals. We estimate a simple behavioural heterogeneous agents model with boundedly rational traders in which the fundamental value of the stock prices is

Booms, busts and behavioural heterogeneity in stock prices

NARCIS (Netherlands)

Hommes, C.; in 't Veld, D.

2015-01-01

We estimate a behavioural heterogeneous agents model with boundedly rational traders who know the fundamental stock price, but disagree about the persistence of deviations from the fundamental. Some agents (fundamentalists) believe in mean-reversion of stock prices, while others (chartists) expect a

Booms, busts and behavioural heterogeneity in stock prices

NARCIS (Netherlands)

Hommes, C.; in ‘t Veld, D.

2017-01-01

We estimate a behavioural heterogeneous agents model with boundedly rational traders who know the fundamental stock price, but disagree about the persistence of deviations from the fundamental. Some agents (fundamentalists) believe in mean-reversion of stock prices, while others (chartists) expect a

Price elasticity of on- and off-premises demand for alcoholic drinks: A Tobit analysis.

Science.gov (United States)

Jiang, Heng; Livingston, Michael; Room, Robin; Callinan, Sarah

2016-06-01

Understanding how price policies will affect alcohol consumption requires estimates of the impact of price on consumption among different types of drinkers and across different consumption settings. This study aims to estimate how changes in price could affect alcohol demand across different beverages, different settings (on-premise, e.g., bars, restaurants and off-premise, e.g., liquor stores, supermarkets), and different levels of drinking and income. Tobit analysis is employed to estimate own- and cross-price elasticities of alcohol demand among 11 subcategories of beverage based on beverage type and on- or off-premise supply, using cross-sectional data from the Australian arm of the International Alcohol Control Survey 2013. Further elasticity estimates were derived for sub-groups of drinkers based on their drinking and income levels. The results suggest that demand for nearly every subcategory of alcohol significantly responds to its own price change, except for on-premise spirits and ready-to-drink spirits. The estimated demand for off-premise beverages is more strongly affected by own price changes than the same beverages in on-premise settings. Demand for off-premise regular beer and off-premise cask wine is more price responsive than demand for other beverages. Harmful drinkers and lower income groups appear more price responsive than moderate drinkers and higher income groups. Our findings suggest that alcohol price policies, such as increasing alcohol taxes or introducing a minimum unit price, can reduce alcohol demand. Price appears to be particularly effective for reducing consumption and as well as alcohol-related harm among harmful drinkers and lower income drinkers. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

A Reevaluation of Price Elasticities for Irrigation Water

Science.gov (United States)

Howitt, Richard E.; Watson, William D.; Adams, Richard M.

1980-08-01

The effectiveness of pricing systems in the allocation of irrigation water is linked with the price elasticity of demand of farmers for water. Using microeconomic theory, it is shown that omission of the elasticity of demand for the crop produced leads to an inelastic bias in the demand for irrigated water. Linear programing approaches omit the product elasticity of demand and are consequently biased, whereas quadratic programing approaches to estimating derived demands for irrigation water include product demand functions. The difference between the resulting estimates are empirically demonstrated for regional derived demand functions estimated from a model of California's agricultural industry.

Role of e-WOM in Hospitality Market Pricing

Directory of Open Access Journals (Sweden)

Kościółek Szczepan

2017-07-01

Full Text Available Aim/purpose - Online assessments are one of the main factors determining a customer's choice of accommodation. This article examines their relationship to prices in the low and high season in Cracow's hospitality market. The question of which attributes in hotel ratings explain the change in price levels was investigated. Design/methodology/approach - The inference was based on ratings and hotel room offers published on the Booking.com platform. Data were collected and estimated for the representative number of 97 hotels in Cracow. Regression analysis was then used to estimate the model. Findings - The results of the analysis showed that price levels for the high and low seasons are correlated with ratings for comfort and location. It is more precise to use these variables as an explanation for prices in the high season. Guests' perceptions of comfort and location are combined with other hotel features. Research implications/limitations - The study showed which of the hotel parameters should be enhanced when rationally increasing price levels. The limitations of the study are that it covered only one Polish city, collected data from a single website, and omitted other variables to explain the prices of hotel rooms. Originality/value/contribution - This is one of the first papers to examine the correlation between electronic consumer ratings and price levels in the Polish hospitality market and one of few investigations based on the role of e-WOM for the pricing of all objects in the sector, not just for a specific category of hotels. Keywords: consumer ratings, e-WOM, hospitality market, online reviews, pricing.

Environmental prices in the long term; Miljoepriser paa lang sikt

Energy Technology Data Exchange (ETDEWEB)

NONE

1997-12-31

Economic analyses may undervalue important long-time environmental impacts of economic activities if the calculated price of the impacts are wrong. This report discusses how one may estimate the future calculated price of some environmental services. The term environmental service denotes something the presence or absence of which has an impact on the environment that can be valued. Thus, puffins, NOx emissions and suspended dust are all environmental services. The calculated price of an environmental service is the price used in socio-economic benefit-cost analyses. A calculation method is proposed and evaluated by application to such diverse environmental services as the stock of puffins, impregnated wood, NOx emissions and suspended dust. None of these services are priced in the market. The proposed method can be used to estimate the future prices of environmental services that are not priced in the market. The most important difficulties experienced with the method have been (1) how to find data for the increase in the supply of environmental services and (2) how to define environmental services in a satisfactory way. 29 refs., 5 figs., 6 tabs.

Swedish district heating - owners, prices and profitability

International Nuclear Information System (INIS)

Andersson, Sofie; Werner, S.

2001-01-01

Owners, prices and profitability are examined in this report for 152 Swedish district heating companies during 1999. Only public information available has been used: Prices from a national annual consumer study, energy supplied, lengths of district heating pipes installed, and average prices for energy supplied. These companies are responsible for 96 % of all district heat supplied in Sweden. District heating systems owned by municipalities were responsible for 65 % of all district heat supply, while the share of power companies was 34 %. Other private owners accounted for 1 %. Only 12 % of the board members are women and more than 40 % of the companies have no woman in the board. The prices gathered by the annual consumer study are good estimates of the price level of district heating in Sweden. The average revenues are only 4,1 % lower than the effective average of prices gathered. Price of district heating decrease with size and market share. Use of combined heat and power plants decrease prices slightly. Lower prices with size can mainly be explained by lower energy supply costs. Calculated rates of return in relation to calculated replacement values increase slightly by size and are almost independent of age and market share. The purport of these conclusions is that the district heating companies share the cost reduction from size with their customers, while the whole benefit from high market shares is repaid to the customers. Calculated rates of return vary among the owner groups examined. Lower rates are accepted by municipalities, while power companies have higher rates at the average costs used. Total replacement costs for the 152 companies has been estimated to 89 billion Swedish crowns or 10 billion Euro. Only correlation analyses using one dimension have been used in this study. A higher degree of quality can be obtained by using multi-dimensional analyses

Price elasticity and medication use: cost sharing across multiple clinical conditions.

Science.gov (United States)

Gatwood, Justin; Gibson, Teresa B; Chernew, Michael E; Farr, Amanda M; Vogtmann, Emily; Fendrick, A Mark

2014-11-01

To address the impact that out-of-pocket prices may have on medication use, it is vital to understand how the demand for medications may be affected when patients are faced with changes in the price to acquire treatment and how price responsiveness differs across medication classes.  To examine the impact of cost-sharing changes on the demand for 8 classes of prescription medications. This was a retrospective database analysis of 11,550,363 commercially insured enrollees within the 2005-2009 MarketScan Database. Patient cost sharing, expressed as a price index for each medication class, was the main explanatory variable to examine the price elasticity of demand. Negative binomial fixed effect models were estimated to examine medication fills. The elasticity estimates reflect how use changes over time as a function of changes in copayments. Model estimates revealed that price elasticity of demand ranged from -0.015 to -0.157 within the 8 categories of medications (P  less than  0.01 for 7 of 8 categories). The price elasticity of demand for smoking deterrents was largest (-0.157, P  less than  0.0001), while demand for antiplatelet agents was not responsive to price (P  greater than 0.05). The price elasticity of demand varied considerably by medication class, suggesting that the influence of cost sharing on medication use may be related to characteristics inherent to each medication class or underlying condition.

A comparison of alternative methods for measuring cigarette prices.

Science.gov (United States)

Chaloupka, Frank J; Tauras, John A; Strasser, Julia H; Willis, Gordon; Gibson, James T; Hartman, Anne M

2015-05-01

Government agencies, public health organisations and tobacco control researchers rely on accurate estimates of cigarette prices for a variety of purposes. Since the 1950s, the Tax Burden on Tobacco (TBOT) has served as the most widely used source of this price data despite its limitations. This paper compares the prices and collection methods of the TBOT retail-based data and the 2003 and 2006/2007 waves of the population-based Tobacco Use Supplement to the Current Population Survey (TUS-CPS). From the TUS-CPS, we constructed multiple state-level measures of cigarette prices, including weighted average prices per pack (based on average prices for single-pack purchases and average prices for carton purchases) and compared these with the weighted average price data reported in the TBOT. We also constructed several measures of tax avoidance from the TUS-CPS self-reported data. For the 2003 wave, the average TUS-CPS price was 71 cents per pack less than the average TBOT price; for the 2006/2007 wave, the difference was 47 cents. TUS-CPS and TBOT prices were also significantly different at the state level. However, these differences varied widely by state due to tax avoidance opportunities, such as cross-border purchasing. The TUS-CPS can be used to construct valid measures of cigarette prices. Unlike the TBOT, the TUS-CPS captures the effect of price-reducing marketing strategies, as well as tax avoidance practices and non-traditional types of purchasing. Thus, self-reported data like TUS-CPS appear to have advantages over TBOT in estimating the 'real' price that smokers face. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

The real-time price elasticity of electricity

International Nuclear Information System (INIS)

Lijesen, Mark G.

2007-01-01

The real-time price elasticity of electricity contains important information on the demand response of consumers to the volatility of peak prices. Despite the importance, empirical estimates of the real-time elasticity are hardly available. This paper provides a quantification of the real-time relationship between total peak demand and spot market prices. We find a low value for the real-time price elasticity, which may partly be explained from the fact that not all users observe the spot market price. If we correct for this phenomenon, we find the elasticity to be fairly low for consumers currently active in the spot market. If this conclusion applies to all users, this would imply a limited scope for government intervention in supply security issues. (Author)

Dynamic Pricing and Learning with Finite Inventories

OpenAIRE

Zwart, Bert; Boer, Arnoud

2015-01-01

We study a dynamic pricing problem with finite inventory and parametric uncertainty on the demand distribution. Products are sold during selling seasons of finite length, and inventory that is unsold at the end of a selling season, perishes. The goal of the seller is to determine a pricing strategy that maximizes the expected revenue. Inference on the unknown parameters is made by maximum likelihood estimation. We propose a pricing strategy for this problem, and show that the Regret - which i...

Dynamics Model Applied to Pricing Options with Uncertain Volatility

Directory of Open Access Journals (Sweden)

Lorella Fatone

2012-01-01

model is proposed. The data used to test the calibration problem included observations of asset prices over a finite set of (known equispaced discrete time values. Statistical tests were used to estimate the statistical significance of the two parameters of the Black-Scholes model: the volatility and the drift. The effects of these estimates on the option pricing problem were investigated. In particular, the pricing of an option with uncertain volatility in the Black-Scholes framework was revisited, and a statistical significance was associated with the price intervals determined using the Black-Scholes-Barenblatt equations. Numerical experiments involving synthetic and real data were presented. The real data considered were the daily closing values of the S&P500 index and the associated European call and put option prices in the year 2005. The method proposed here for calibrating the Black-Scholes dynamics model could be extended to other science and engineering models that may be expressed in terms of stochastic dynamical systems.

Examining the short-run price elasticity of gasoline demand in the United States

Science.gov (United States)

Brannan, Michael James

Estimating the consumer demand response to changes in the price of gasoline has important implications regarding fuel tax policies and environmental concerns. There are reasons to believe that the short-run price elasticity of gasoline demand fluctuates due to changing structural and behavioral factors. In this paper I estimate the short-run price elasticity of gasoline demand in two time periods, from 2001 to 2006 and from 2007 to 2010. This study utilizes data at both the national and state levels to produce estimates. The short-run price elasticities range from -0.034 to -0.047 during 2001 to 2006, compared to -0.058 to -0.077 in the 2007 to 2010 period. This paper also examines whether there are regional differences in the short-run price elasticity of gasoline demand in the United States. However, there appears to only be modest variation in price elasticity values across regions.

Impact of cigarette minimum price laws on the retail price of cigarettes in the USA.

Science.gov (United States)

Tynan, Michael A; Ribisl, Kurt M; Loomis, Brett R

2013-05-01

Cigarette price increases prevent youth initiation, reduce cigarette consumption and increase the number of smokers who quit. Cigarette minimum price laws (MPLs), which typically require cigarette wholesalers and retailers to charge a minimum percentage mark-up for cigarette sales, have been identified as an intervention that can potentially increase cigarette prices. 24 states and the District of Columbia have cigarette MPLs. Using data extracted from SCANTRACK retail scanner data from the Nielsen company, average cigarette prices were calculated for designated market areas in states with and without MPLs in three retail channels: grocery stores, drug stores and convenience stores. Regression models were estimated using the average cigarette pack price in each designated market area and calendar quarter in 2009 as the outcome variable. The average difference in cigarette pack prices are 46 cents in the grocery channel, 29 cents in the drug channel and 13 cents in the convenience channel, with prices being lower in states with MPLs for all three channels. The findings that MPLs do not raise cigarette prices could be the result of a lack of compliance and enforcement by the state or could be attributed to the minimum state mark-up being lower than the free-market mark-up for cigarettes. Rather than require a minimum mark-up, which can be nullified by promotional incentives and discounts, states and countries could strengthen MPLs by setting a simple 'floor price' that is the true minimum price for all cigarettes or could prohibit discounts to consumers and retailers.

Pricing of reserves. Valuing system reserve capacity against spot prices in electricity markets

International Nuclear Information System (INIS)

Just, Sebastian; Weber, Christoph

2008-01-01

This paper models the interdependencies between markets for secondary reserve capacity and spot electricity to derive the pricing of reserves under equilibrium conditions. Starting with the indifference condition between offering in both markets, the reservation price is derived from the opportunity cost consideration and the unit commitment conditions in a fundamental interrelated market framework. The reserve market examined compares widely to the German market for secondary reserves, but the general approach may also be used to investigate other reserve markets. The approach explores and formalizes the influence of reserve capacity on the spot market supply function. A numerical solution procedure is provided to this non-trivial case of market interaction. The model is used to estimate the expected reservation price development over the last years in Germany. (author)

Performance/price estimates for cortex-scale hardware: a design space exploration.

Science.gov (United States)

Zaveri, Mazad S; Hammerstrom, Dan

2011-04-01

In this paper, we revisit the concept of virtualization. Virtualization is useful for understanding and investigating the performance/price and other trade-offs related to the hardware design space. Moreover, it is perhaps the most important aspect of a hardware design space exploration. Such a design space exploration is a necessary part of the study of hardware architectures for large-scale computational models for intelligent computing, including AI, Bayesian, bio-inspired and neural models. A methodical exploration is needed to identify potentially interesting regions in the design space, and to assess the relative performance/price points of these implementations. As an example, in this paper we investigate the performance/price of (digital and mixed-signal) CMOS and hypothetical CMOL (nanogrid) technology based hardware implementations of human cortex-scale spiking neural systems. Through this analysis, and the resulting performance/price points, we demonstrate, in general, the importance of virtualization, and of doing these kinds of design space explorations. The specific results suggest that hybrid nanotechnology such as CMOL is a promising candidate to implement very large-scale spiking neural systems, providing a more efficient utilization of the density and storage benefits of emerging nano-scale technologies. In general, we believe that the study of such hypothetical designs/architectures will guide the neuromorphic hardware community towards building large-scale systems, and help guide research trends in intelligent computing, and computer engineering. Copyright © 2010 Elsevier Ltd. All rights reserved.

Option Pricing using Realized Volatility

DEFF Research Database (Denmark)

Stentoft, Lars Peter

dynamics to be used for option pricing purposes in this framework, and we show that our model explains some of the mispricings found when using traditional option pricing models based on interdaily data. We then show explicitly that a Generalized Autoregressive Conditional Heteroskedastic model with Normal...... Inverse Gaussian distributed innovations is the corresponding benchmark model when only daily data is used. Finally, we perform an empirical analysis using stock options for three large American companies, and we show that in all cases our model performs significantly better than the corresponding...... benchmark model estimated on return data alone. Hence the paper provides evidence on the value of using high frequency data for option pricing purposes....

Demand side management in recycling and electricity retail pricing

Science.gov (United States)

Kazan, Osman

This dissertation addresses several problems from the recycling industry and electricity retail market. The first paper addresses a real-life scheduling problem faced by a national industrial recycling company. Based on their practices, a scheduling problem is defined, modeled, analyzed, and a solution is approximated efficiently. The recommended application is tested on the real-life data and randomly generated data. The scheduling improvements and the financial benefits are presented. The second problem is from electricity retail market. There are well-known patterns in daily usage in hours. These patterns change in shape and magnitude by seasons and days of the week. Generation costs are multiple times higher during the peak hours of the day. Yet most consumers purchase electricity at flat rates. This work explores analytic pricing tools to reduce peak load electricity demand for retailers. For that purpose, a nonlinear model that determines optimal hourly prices is established based on two major components: unit generation costs and consumers' utility. Both are analyzed and estimated empirically in the third paper. A pricing model is introduced to maximize the electric retailer's profit. As a result, a closed-form expression for the optimal price vector is obtained. Possible scenarios are evaluated for consumers' utility distribution. For the general case, we provide a numerical solution methodology to obtain the optimal pricing scheme. The models recommended are tested under various scenarios that consider consumer segmentation and multiple pricing policies. The recommended model reduces the peak load significantly in most cases. Several utility companies offer hourly pricing to their customers. They determine prices using historical data of unit electricity cost over time. In this dissertation we develop a nonlinear model that determines optimal hourly prices with parameter estimation. The last paper includes a regression analysis of the unit generation cost

SECOND ROUND EFFECTS AND PASS-THROUGH OF FOOD PRICES TO INFLATION IN KENYA

Directory of Open Access Journals (Sweden)

Roseline Nyakerario Misati

2015-07-01

Full Text Available In the recent past, the Kenyan economy experienced persistent inflationary pressures, partly attributed to food price spikes. However, the quantitative role of food prices in inflation is not well understood or formally empirically analyzed in Kenya yet food occupies a weight of 36 percent in the consumer price index and contributes a monthly average of over 40 percent to overall inflation. Based on monthly data covering the period 1997-2012, this paper attempts to fill this gap by examining the relationship between food prices and inflation. The study used gap models and Phillips curve approaches to estimate the passthrough effects of food prices to both overall inflation and non-food non-fuel inflation. Based on gap models, the results confirm presence of second round effects from food prices to inflation while estimations of the Phillips curve suggest a domestic food price pass-through of 0.49 to overall inflation and 0.38 to non-food non-fuel inflation. The world food prices pass-through to overall inflation and non-food non-fuel inflation are estimated at 0.09 and 0.08, respectively. Thus this paper recommends usage of headline inflation to estimate trend inflation, enhanced communication to mitigate second round effects and that while monetary policy is very critical in anchoring inflationary expectations, there is mutual gain from a supportive fiscal policy in addressing supply side shocks.

Unit Price Scaling Trends for Chemical Products

Energy Technology Data Exchange (ETDEWEB)

Qi, Wei [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sathre, Roger [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Morrow, III, William R. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Shehabi, Arman [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

2015-08-01

To facilitate early-stage life-cycle techno-economic modeling of emerging technologies, here we identify scaling relations between unit price and sales quantity for a variety of chemical products of three categories - metal salts, organic compounds, and solvents. We collect price quotations for lab-scale and bulk purchases of chemicals from both U.S. and Chinese suppliers. We apply a log-log linear regression model to estimate the price discount effect. Using the median discount factor of each category, one can infer bulk prices of products for which only lab-scale prices are available. We conduct out-of-sample tests showing that most of the price proxies deviate from their actual reference prices by a factor less than ten. We also apply the bootstrap method to determine if a sample median discount factor should be accepted for price approximation. We find that appropriate discount factors for metal salts and for solvents are both -0.56, while that for organic compounds is -0.67 and is less representative due to greater extent of product heterogeneity within this category.

Pricing and hedging in the VIX derivative market

NARCIS (Netherlands)

Kozarski, R.

2013-01-01

In course of the analysis, we take advantage of extended market evidence in the model estimation and a more complex design to assess the model pricing and hedging performance. The pursuit of more empirically relevant frameworks pays-off is a more precise pricing. However, instead of developing

How Are Property Investment Returns Determined? : Estimating the Micro-Structure of Asset Prices, Property Income, and Discount Rates

OpenAIRE

Shimizu, Chihiro

2014-01-01

How exactly should one estimate property investment returns? Investors in property aim to maximize capital gains from price increases and income generated by the property. How are the returns on investment in property determined based on its characteristics, and what kind of market characteristics does it have? Focusing on the Tokyo commercial property market and residential property market, the purpose of this paper was to break down and measure the micro-structure of property investment ret...

Prediction future asset price which is non-concordant with the historical distribution

Science.gov (United States)

Seong, Ng Yew; Hin, Pooi Ah

2015-12-01

This paper attempts to predict the major characteristics of the future asset price which is non-concordant with the distribution estimated from the price today and the prices on a large number of previous days. The three major characteristics of the i-th non-concordant asset price are the length of the interval between the occurrence time of the previous non-concordant asset price and that of the present non-concordant asset price, the indicator which denotes that the non-concordant price is extremely small or large by its values -1 and 1 respectively, and the degree of non-concordance given by the negative logarithm of the probability of the left tail or right tail of which one of the end points is given by the observed future price. The vector of three major characteristics of the next non-concordant price is modelled to be dependent on the vectors corresponding to the present and l - 1 previous non-concordant prices via a 3-dimensional conditional distribution which is derived from a 3(l + 1)-dimensional power-normal mixture distribution. The marginal distribution for each of the three major characteristics can then be derived from the conditional distribution. The mean of the j-th marginal distribution is an estimate of the value of the j-th characteristics of the next non-concordant price. Meanwhile, the 100(α/2) % and 100(1 - α/2) % points of the j-th marginal distribution can be used to form a prediction interval for the j-th characteristic of the next non-concordant price. The performance measures of the above estimates and prediction intervals indicate that the fitted conditional distribution is satisfactory. Thus the incorporation of the distribution of the characteristics of the next non-concordant price in the model for asset price has a good potential of yielding a more realistic model.

Next Generations of Road Pricing: Social Welfare Enhancing

Directory of Open Access Journals (Sweden)

Omid M. Rouhani

2016-03-01

Full Text Available This paper offers a broad overview of road pricing from a social welfare perspective. I first examine two common objectives of road pricing: congestion management and profit making. My goal is to provide a guideline explaining how to promote a social-welfare-enhancing road pricing scheme. To this end, we should: (i consider and improve public transportation systems by providing more environment-friendly transport options; (ii include tolling profits in our welfare analysis (as opposed to what economists suggest since residents are the real owners of roads not users, and since some users are from outside the region and so might not be excluded from analysis; and (iii search for a holistic approach that takes into account system-wide impacts, disutility to users who change their travel behavior (i.e., switch to public transportation, shift their travel, or do not travel at all, and the impacts on land use, employment, and residents.

Price elasticity of expenditure across health care services.

Science.gov (United States)

Duarte, Fabian

2012-12-01

Policymakers in countries around the world are faced with rising health care costs and are debating ways to reform health care to reduce expenditures. Estimates of price elasticity of expenditure are a key component for predicting expenditures under alternative policies. Using unique individual-level data compiled from administrative records from the Chilean private health insurance market, I estimate the price elasticity of expenditures across a variety of health care services. I find elasticities that range between zero for the most acute service (appendectomy) and -2.08 for the most elective (psychologist visit). Moreover, the results show that at least one third of the elasticity is explained by the number of visits; the rest is explained by the intensity of each visit. Finally, I find that high-income individuals are five times more price sensitive than low-income individuals and that older individuals are less price-sensitive than young individuals. Copyright © 2012 Elsevier B.V. All rights reserved.

Online and official price indexes: Measuring Argentina's inflation

OpenAIRE

Cavallo, Alberto F.

2013-01-01

Prices collected from online retailers can be used to construct daily price indexes that complement official statistics. This paper studies their ability to match official inflation estimates in five Latin American countries, with a focus on Argentina, where official statistics have been heavily criticized in recent years. The data were collected between October 2007 and March 2011 from the largest supermarket in each country. In Brazil, Chile, Colombia, and Venezuela, online price indexes ap...

Response of residential electricity demand to price: The effect of measurement error

Energy Technology Data Exchange (ETDEWEB)

Alberini, Anna [Department of Agricultural Economics, University of Maryland (United States); Centre for Energy Policy and Economics (CEPE), ETH Zurich (Switzerland); Gibson Institute and Institute for a Sustainable World, School of Biological Sciences, Queen' s University Belfast, Northern Ireland (United Kingdom); Filippini, Massimo, E-mail: mfilippini@ethz.ch [Centre for Energy Policy and Economics (CEPE), ETH Zurich (Switzerland); Department of Economics, University of Lugano (Switzerland)

2011-09-15

In this paper we present an empirical analysis of the residential demand for electricity using annual aggregate data at the state level for 48 US states from 1995 to 2007. Earlier literature has examined residential energy consumption at the state level using annual or monthly data, focusing on the variation in price elasticities of demand across states or regions, but has failed to recognize or address two major issues. The first is that, when fitting dynamic panel models, the lagged consumption term in the right-hand side of the demand equation is endogenous. This has resulted in potentially inconsistent estimates of the long-run price elasticity of demand. The second is that energy price is likely mismeasured. To address these issues, we estimate a dynamic partial adjustment model using the Kiviet corrected Least Square Dummy Variables (LSDV) (1995) and the Blundell-Bond (1998) estimators. We find that the long-term elasticities produced by the Blundell-Bond system GMM methods are largest, and that from the bias-corrected LSDV are greater than that from the conventional LSDV. From an energy policy point of view, the results obtained using the Blundell-Bond estimator where we instrument for price imply that a carbon tax or other price-based policy may be effective in discouraging residential electricity consumption and hence curbing greenhouse gas emissions in an electricity system mainly based on coal and gas power plants. - Research Highlights: > Updated information on price elasticities for the US energy policy. > Taking into account measurement error in the price variable increase price elasticity. > Room for discouraging residential electricity consumption using price increases.

Response of residential electricity demand to price: The effect of measurement error

International Nuclear Information System (INIS)

Alberini, Anna; Filippini, Massimo

2011-01-01

In this paper we present an empirical analysis of the residential demand for electricity using annual aggregate data at the state level for 48 US states from 1995 to 2007. Earlier literature has examined residential energy consumption at the state level using annual or monthly data, focusing on the variation in price elasticities of demand across states or regions, but has failed to recognize or address two major issues. The first is that, when fitting dynamic panel models, the lagged consumption term in the right-hand side of the demand equation is endogenous. This has resulted in potentially inconsistent estimates of the long-run price elasticity of demand. The second is that energy price is likely mismeasured. To address these issues, we estimate a dynamic partial adjustment model using the Kiviet corrected Least Square Dummy Variables (LSDV) (1995) and the Blundell-Bond (1998) estimators. We find that the long-term elasticities produced by the Blundell-Bond system GMM methods are largest, and that from the bias-corrected LSDV are greater than that from the conventional LSDV. From an energy policy point of view, the results obtained using the Blundell-Bond estimator where we instrument for price imply that a carbon tax or other price-based policy may be effective in discouraging residential electricity consumption and hence curbing greenhouse gas emissions in an electricity system mainly based on coal and gas power plants. - Research Highlights: → Updated information on price elasticities for the US energy policy. → Taking into account measurement error in the price variable increase price elasticity. → Room for discouraging residential electricity consumption using price increases.

Modelling electricity futures prices using seasonal path-dependent volatility

International Nuclear Information System (INIS)

Fanelli, Viviana; Maddalena, Lucia; Musti, Silvana

2016-01-01

Highlights: • A no-arbitrage term structure model is applied to the electricity market. • Volatility parameters of the HJM model are estimated by using German data. • The model captures the seasonal price behaviour. • Electricity futures prices are forecasted. • Call options are evaluated according to different strike prices. - Abstract: The liberalization of electricity markets gave rise to new patterns of futures prices and the need of models that could efficiently describe price dynamics grew exponentially, in order to improve decision making for all of the agents involved in energy issues. Although there are papers focused on modelling electricity as a flow commodity by using Heath et al. (1992) approach in order to price futures contracts, the literature is scarce on attempts to consider a seasonal volatility as input to models. In this paper, we propose a futures price model that allows looking into observed stylized facts in the electricity market, in particular stochastic price variability, and periodic behavior. We consider a seasonal path-dependent volatility for futures returns that are modelled in Heath et al. (1992) framework and we obtain the dynamics of futures prices. We use these series to price the underlying asset of a call option in a risk management perspective. We test the model on the German electricity market, and we find that it is accurate in futures and option value estimates. In addition, the obtained results and the proposed methodology can be useful as a starting point for risk management or portfolio optimization under uncertainty in the current context of energy markets.

A Practical Guide to the Economics of Carbon Pricing

Directory of Open Access Journals (Sweden)

Ross McKitrick

2016-09-01

cost of the impact that same tonne will have in the future (and some of that impact may be positive, not necessarily negative. Therefore, another important rule for creating a proper carbon-pricing system is to be as careful as possible in estimating the social cost of carbon. Estimates are all we have, and they vary wildly, from negative — meaning any carbon price is too high — to hundreds of dollars per tonne. Minor adjustments to the calculation’s inputs, such as the discount rate used and fluctuating estimates about climate sensitivity, produce dramatically different estimates. The social cost of carbon must be set with extreme prudence in order to set a reasonable carbon price. Whatever the carbon price, it will necessarily detract some degree from economic growth. But when a carbon tax is added in the presence of other taxes, such as income, sales and corporate taxes, its effect will be even more harmful, due to the compounded burden on economic activity. As a result, whatever the social cost of carbon is determined to be, the carbon price must be discounted below it by the marginal cost of public funds (MCPF — that is, the economic cost of the government raising an additional dollar of tax, on top of what is already being raised. This varies by province, but estimates suggest that in Canada, the optimal carbon tax should be about half of the estimated social cost of carbon. Finally, it needs to be remembered that carbon pricing works because it is a marketbased policy: it works with market forces, not against them. But that means the policy maker needs to let the market play its role. Choosing the price means the market will set the quantity, and vice-versa. In response to a well-designed carbon price, the market may only reduce emissions a little, especially in the short term. Policy makers need to resist the temptation to reintroduce command-and-control rules and arbitrary quantity targets, which will simply unravel the gains from adopting the policy

Deviations in expected price impact for small transaction volumes under fee restructuring

Science.gov (United States)

Harvey, M.; Hendricks, D.; Gebbie, T.; Wilcox, D.

2017-04-01

We report on the occurrence of an anomaly in the price impacts of small transaction volumes following a change in the fee structure of an electronic market. We first review evidence for the existence of a master curve for price impact on the Johannesburg Stock Exchange (JSE). On attempting to re-estimate a master curve after fee reductions, it is found that the price impact corresponding to smaller volume trades is greater than expected relative to prior estimates for a range of listed stocks. We show that a master curve for price impact can be found following rescaling by an appropriate liquidity proxy, providing a means for practitioners to approximate price impact curves without onerous processing of tick data.

Anticipation, Tax Avoidance, and the Price Elasticity of Gasoline Demand

OpenAIRE

Coglianese, John; Davis, Lucas W; Kilian, Lutz; Stock, James H

2015-01-01

Traditional least squares estimates of the responsiveness of gasoline consumption to changes in gasoline prices are biased toward zero, given the endogeneity of gasoline prices. A seemingly natural solution to this problem is to instrument for gasoline prices using gasoline taxes, but this approach tends to yield implausibly large price elasticities. We demonstrate that anticipatory behavior provides an important explanation for this result. We provide evidence that gasoline buyers increase g...

Volatile behaviour of enrichment uranium in the total nuclear fuel price

International Nuclear Information System (INIS)

Arnaiz, J.; Inchausti, J. M.; Tarin, F.

2004-01-01

In this article the historical high volatile behaviour of the total nuclear fuel price is evaluated quantitatively and it is concluded that it has been due mainly to the fluctuations of the price of the principal components of enriched uranium (concentrates and enrichment). In order to avoid the negative effects of this volatiles behaviour as far as possible, a basic strategy in the uranium procurement activities is recommended (union of buyers, diversification of supplier, stock management, optimisation of contract portfolio and suitable currency management that guarantees a reliable uranium supply at reasonable prices. These guidelines are those that ENUSA has been following on behalf of the Spanish Utilities in the Commission of Uranium Procurement (CAU in Spanish). (Author) 11 refs

Sociodemographic differences in fast food price sensitivity

Science.gov (United States)

Meyer, Katie A.; Guilkey, David K.; Ng, Shu Wen; Duffey, Kiyah J.; Popkin, Barry M.; Kiefe, Catarina I.; Steffen, Lyn M.; Shikany, James M.; Gordon-Larsen, Penny

2014-01-01

Importance Fiscal food policies (e.g., taxation) are increasingly proposed to improve population-level health, but their impact on health disparities is unknown. Objective We estimated subgroup-specific effects of fast food price changes on fast food consumption and cardio-metabolic outcomes, hypothesizing inverse associations between fast food price with fast food consumption, BMI, and insulin resistance and stronger associations among blacks (vs. whites) and participants with relatively lower education or income. Design 20-year follow-up (5 exams) in a biracial U.S. prospective cohort: Coronary Artery Risk Development in Young Adults (CARDIA) (1985/86–2005/06, baseline n=5,115). Participants Aged 18–30 at baseline; designed for equal recruitment by race (black/white), educational attainment, age, and gender. Exposures Community-level price data from the Council for Community and Economic Research (C2ER) temporally- and geographically-linked to study participants’ home address at each exam. Main outcome and measures Participant-reported number of fast food eating occasions per week; BMI (kg/m2) from clinical assessment of weight and height; homeostatic model assessment insulin resistance (HOMA-IR) from fasting glucose and insulin. Covariates included individual- and community-level social and demographic factors. Results In repeated measures regression, multivariable-adjusted associations between fast food price and consumption were non-linear (quadratic, pconsumption at higher prices; estimates varied according to race (interaction term p=0.04), income (p=0.07), and education (p=0.03). For example, at the 10th percentile of price ($1.25/serving), blacks and whites had mean fast food consumption (times/week) of 2.2 (95% CI: 2.1–2.3) and 1.6 (1.5–1.7), respectively, while at the 90th percentile of price ($1.53/serving), respective mean consumption estimates were 1.9 (1.8–2.0) and 1.5 (1.4–1.6). We observed differential price effects on HOMA

A study of Canadian retail gasoline prices

International Nuclear Information System (INIS)

Eckert, A.L.

1999-05-01

Retail gasoline pricing in Canadian markets was examined to demonstrate why retail prices tend to follow one of two distinct patterns and that neither pattern is observable in the wholesale price. In many cities, retail prices are more rigid than wholesale prices, while in other markets, retail prices follow a cyclic pattern not seen in wholesale prices. This study examined why constant prices are observed in some cities, while other cities have cyclic prices. Theoretical justification was given to the argument that prices will remain constant only in markets in which there are only few gasoline companies with a small number of stations, but a large per-station capacity. It was shown that when one firm operates significantly more stations than its rival, a constant cost equilibrium cannot be maintained. However, a cycle equilibrium can be constructed in this case, and also when the two companies are similarly sized. An initial examination of available price, cost and market structure data shows that there is a positive correlation between price stability and concentration. The response of retail prices to wholesale price movements in the presence of a retail price cycle was also examined through the use of a simple model based on the predictions of the above theory. Data for the city of Windsor, Ontario was used for the modelling approach. A new cycle is created by an increase in price whenever the distance between the previous retail price and the current wholesale prices is very small. Retail prices are more responsive to wholesale prices over the increasing portion of the cycle. It was shown that when the asymmetric error correction model of Borenstein, Cameron and Gilbert is estimated, it indicates a more rapid response to wholesale price increases than to decreases. 72 refs., 22 tabs., 8 figs

Does PPP hold for Big Mac price or consumer price index? Evidence from panel cointegration

OpenAIRE

Chien-Fu Chen; Chung-Hua Shen; Chien-An Wang

2007-01-01

This paper examines the validity of purchasing power parity (PPP) using CPI and Big Mac prices. The benchmark model, i.e., the OLS method, which does not take nonstationarity into account, rejects the hypothesis of PPP regardless of prices used. We next use the panel cointegration method to consider the nonstationary nature of variables. Estimated results for CPI are mixed. The PPP is rejected when the nominal exchange rate is employed as the dependent variable but is not rejected when the pr...

Measuring the CO2 shadow price for wastewater treatment: A directional distance function approach

International Nuclear Information System (INIS)

Molinos-Senante, María; Hanley, Nick; Sala-Garrido, Ramón

2015-01-01

Highlights: • The shadow price of CO 2 informs about the marginal abatement cost of this pollutant. • It is estimated the shadow price of CO 2 for wastewater treatment plants. • The shadow prices depend on the setting of the directional vectors of the distance function. • Sewage sludge treatment technology affects the CO 2 shadow price. - Abstract: The estimation of the value of carbon emissions has become a major research and policy topic since the establishment of the Kyoto Protocol. The shadow price of CO 2 provides information about the marginal abatement cost of this pollutant. It is an essential element in guiding environmental policy issues, since the CO 2 shadow price can be used when fixing carbon tax rates, in environmental cost-benefit analysis and in ascertaining an initial market price for a trading system. The water industry could play an important role in the reduction of greenhouse gas (GHG) emissions. This paper estimates the shadow price of CO 2 for a sample of wastewater treatment plants (WWTPs), using a parametric quadratic directional distance function. Following this, in a sensitivity analysis, the paper evaluates the impact of different settings of directional vectors on the shadow prices. Applying the Mann–Whitney and Kruskal–Wallis non-parametric tests, factors affecting CO 2 prices are investigated. The variation of CO 2 shadow prices across the WWTPs evaluated argues in favour of a market-based approach to CO 2 mitigation as opposed to command-and-control regulation. The paper argues that the estimation of the shadow price of CO 2 for non-power enterprises can provide incentives for reducing GHG emissions

Oil prices without OPEC: a walk on the supply-side

Energy Technology Data Exchange (ETDEWEB)

Roumasset, J.; Isaak, D.; Fesharaki, F.

1983-07-01

The rapid increases of oil prices during the 1970s are commonly regarded as prima facie evidence of monopoly power. This paper applies the theory of exhaustible resources to estimate the equilibrium oil prices (also known as efficiency prices) which would have prevailed in the absence of monopoly profits. The theory incorporates an extraction cost function wherein cost is a rising function of the cumulative amount of oil extracted. The model is used to simulate efficiency price paths under a variety of assumptions about extraction costs and real interest rates which are representative of perceptions at various times in recent history. These simulations show that the price increases of 1974 and 1979 to 1980 can be explained as a response to supply-side changes, especially changes in the perceived cost of the backstop technology and the fall in real interest rates in the mid and late 1970s. Thus, while efficiency prices were high in the 1970s, relative to extraction costs, it is plausible that average monopoly profits were negligible. This situation appears to have changed in the early 1980s due to the return of real interest rates to their historic levels. In early 1982, even spot prices, already below official prices, were substantially above the estimated efficiency or competitive price level. On the other hand, efficiency prices remain far above extraction costs. Thus, even if the price-setting power of OPEC were eroded by competition, the real price of oil would not fall below the level established in 1974. 18 references, 1 figure, 2 tables.

Dynamics relationship between stock prices and economic variables in Malaysia

Science.gov (United States)

Chun, Ooi Po; Arsad, Zainudin; Huen, Tan Bee

2014-07-01

Knowledge on linkages between stock prices and macroeconomic variables are essential in the formulation of effective monetary policy. This study investigates the relationship between stock prices in Malaysia (KLCI) with four selected macroeconomic variables, namely industrial production index (IPI), quasi money supply (MS2), real exchange rate (REXR) and 3-month Treasury bill (TRB). The variables used in this study are monthly data from 1996 to 2012. Vector error correction (VEC) model and Kalman filter (KF) technique are utilized to assess the impact of macroeconomic variables on the stock prices. The results from the cointegration test revealed that the stock prices and macroeconomic variables are cointegrated. Different from the constant estimate from the static VEC model, the KF estimates noticeably exhibit time-varying attributes over the entire sample period. The varying estimates of the impact coefficients should be better reflect the changing economic environment. Surprisingly, IPI is negatively related to the KLCI with the estimates of the impact slowly increase and become positive in recent years. TRB is found to be generally negatively related to the KLCI with the impact fluctuating along the constant estimate of the VEC model. The KF estimates for REXR and MS2 show a mixture of positive and negative impact on the KLCI. The coefficients of error correction term (ECT) are negative in majority of the sample period, signifying the stock prices responded to stabilize any short term deviation in the economic system. The findings from the KF model indicate that any implication that is based on the usual static model may lead to authorities implementing less appropriate policies.

EU emission trading scheme and the effect on the price of electricity

International Nuclear Information System (INIS)

2004-01-01

The Electricity Market Working Group and the Climate Change Policy Working Group of the Nordic Council of Ministers, has commissioned ECON Analysis to prepare this report. The report analyses the demand and supply of GHG emission allowances and the price of emission allowances for the period 2005-2007 and 2008-2012 and the effect on the electricity price in the Nordic electricity market. The demand for emissions allowances has then been estimated for different scenarios, with different assumption on burden sharing between sectors and international participation and the supply of emission allowances is determined by the marginal abatement costs. Based on available information on abatement costs the supply of allowances is then estimated. The market balance between the demand and supply for allowances then determines the price of emission allowances. The effect on the electricity price is simulated with ECON's model for the Nordic power market to quantitatively estimate the effect from emissions trading on the electricity price, production, consumption, trade, etc. (BA)

Price asymmetry in the Dutch retail gasoline market

International Nuclear Information System (INIS)

Bettendorf, L.; Van der Geest, S.A.; Varkevisser, M.

2002-01-01

This paper analyses retail price adjustments in the Dutch gasoline market. We estimate an asymmetric error correction model on weekly price changes for the years 1996 to 2001. We construct five datasets, one for each working day. The conclusions on asymmetric pricing are shown to differ over these datasets, suggesting that the choice of the day for which prices are observed matters more than commonly believed. In our view, the insufficient robustness of outcomes might explain the mixed conclusions found in the literature. Using two approaches, we also show that the effect of asymmetry on Dutch consumer costs is negligible

Markets in real electric networks require reactive prices

International Nuclear Information System (INIS)

Hogan, W.W.

1996-01-01

Extending earlier seminal work, the author finds that locational spot price differences in an electric network provide the natural measure of the appropriate internodal transport charge. However, the problem of loop flow requires different economic intuition for interpreting the implications of spot pricing. The Direct Current model, which is the usual approximation for estimating spot prices, ignores reactive power effects; this approximation is best when thermal constraints create network congestion. However, when voltage constraints are problematic, the DC Load model is insufficient; a full AC Model is required to determine both real and reactive spot prices. 16 figs., 3 tabs., 22 refs

Differential Responsiveness to Cigarette Price by Education and Income among Adult Urban Chinese Smokers

Science.gov (United States)

Huang, Jidong; Zheng, Rong; Chaloupka, Frank J.; Fong, Geoffrey T.; Jiang, Yuan

2015-01-01

Background There are few studies that examine the impact of tobacco tax and price policies in China. In addition, very little is known about the differential responses to tax and price increases based on socioeconomic status in China. Objective The goal of this study is to estimate the conditional cigarette consumption price elasticity among adult urban smokers in China using individual level longitudinal survey data. We also examine the differential responses to cigarette price increases among groups with different income and/or educational levels. Methods Multivariate analyses using the general estimating equations (GEE) method were conducted to estimate the conditional cigarette demand price elasticity using data from the International Tobacco Control (ITC) China Survey, a longitudinal survey of adult smokers in seven cities in China. The first three waves of the ITC China Survey data were used in this analysis. Analyses based on subsample by education and income were conducted. Findings Our results show that overall conditional cigarette demand price elasticity ranges from −0.12 to −0.14, implying a 10% increase in cigarette price would result in a reduction in cigarette consumption among adult urban Chinese smokers by 1.2% to 1.4%. No differential responses to cigarette price increase were found across education levels. The price elasticity estimates do not differ between high income smokers and medium income smokers. However, cigarette consumption among low income smokers did not seem to decrease after a price increase, at least among those who continued to smoke. Conclusion Relative to many other low- and middle-income countries, cigarette consumption among Chinese adult smokers is not very sensitive to changes in cigarette prices. The total impact of cigarette price increase would be larger if its impact on smoking initiation and cessation, as well as the price-reducing behaviors such as brand switching and trading down, were taken into account. PMID

Do gasoline prices exhibit asymmetry? Not usually

International Nuclear Information System (INIS)

Douglas, Christopher C.

2010-01-01

Previous studies have found evidence of asymmetric price adjustment in U.S. retail gasoline prices in that gasoline prices rise more rapidly in response to a cost increase than fall in response to a cost decrease. By estimating a threshold cointegration model that allows for multiple regimes, I am able to test how sensitive this result is to outlying observations. In contrast to previous studies, I find little evidence of asymmetry for the vast majority of observations and that the asymmetry is being driven by a small number of outlying observations. (author)

Method for Developing Descriptions of Hard-to-Price Products: Results of the Telecommunications Product Study

Energy Technology Data Exchange (ETDEWEB)

Conrad, F.; Tonn, B.

1999-05-01

This report presents the results of a study to test a new method for developing descriptions of hard-to-price products. The Bureau of Labor Statistics (BLS) is responsible for collecting data to estimate price indices such as the Consumers Price Index (BLS) is responsible for collecting data to estimate price indices such as the Consumers Price Index (CPI). BLS accomplishes this task by sending field staff to places of business to price actual products. The field staff are given product checklists to help them determine whether products found today are comparable to products priced the previous month. Prices for non-comparable products are not included in the current month's price index calculations. A serious problem facing BLS is developing product checklists for dynamic product areas, new industries, and the service sector. It is difficult to keep checklists up-to-date and quite often simply to develop checklists for service industry products. Some people estimates that upwards of 50 % of US economic activity is not accounted for in the CPI

Flex cars and the alcohol price

International Nuclear Information System (INIS)

Ferreira, Alex Luiz; Da Silveira, Jaylson Jair; De Almeida Prado, Fernando Pigeard

2009-01-01

We build a model that incorporates the effect of the innovative 'flex' car, an automobile that is able to run with either gasoline or alcohol, on the dynamics of fuel prices in Brazil. Our model shows that differences regarding fuel prices will now depend on the proportions of alcohol, gasoline and flex cars in the total stock. Conversely, the demand for each type of car will also depend on the expected future prices of alcohol and gasoline (in addition to the car prices). The model reflects our findings that energy prices are tied in the long run and that causality runs stronger from gasoline to alcohol. The estimated error correction parameter is stable, implying that the speed of adjustment towards equilibrium remains unchanged. The latter result is probably due to a still small fraction of flex cars in the total stock (approx. 5%), despite the fact that its sales nearly reached 100% in 2006. (author)

The price sensitivity of Medicare beneficiaries: a regression discontinuity approach.

Science.gov (United States)

Buchmueller, Thomas C; Grazier, Kyle; Hirth, Richard A; Okeke, Edward N

2013-01-01

We use 4 years of data from the retiree health benefits program of the University of Michigan to estimate the effect of price on the health plan choices of Medicare beneficiaries. During the period of our analysis, changes in the University's premium contribution rules led to substantial price changes. A key feature of this 'natural experiment' is that individuals who had retired before a certain date were exempted from having to pay any premium contributions. This 'grandfathering' creates quasi-experimental variation that is ideal for estimating the effect of price. Using regression discontinuity methods, we compare the plan choices of individuals who retired just after the grandfathering cutoff date and were therefore exposed to significant price changes to the choices of a 'control group' of individuals who retired just before that date and therefore did not experience the price changes. The results indicate a statistically significant effect of price, with a $10 increase in monthly premium contributions leading to a 2 to 3 percentage point decrease in a plan's market share. Copyright © 2012 John Wiley & Sons, Ltd.

Misguided guidelines for managing labor.

Science.gov (United States)

Cohen, Wayne R; Friedman, Emanuel A

2015-06-01

In a recent review we expressed concerns about new guidelines for the assessment and management of labor recommended jointly by the American Congress of Obstetricians and Gynecologists (ACOG) and the Society for Maternal-Fetal Medicine (SMFM). These guidelines are based heavily on a new concept of how cervical dilatation and fetal descent progress, derived from the work of Zhang et al. In their Viewpoint article they have addressed, but not allayed, the concerns we described in our review. We assert that the dilatation curve promulgated by Zhang et al cannot be reconciled with direct clinical observation. Even if they were correct, however, it still does not follow that the ACOG/SMFM guidelines should recommend replacing the coherent system of identifying and managing labor aberrations described by Friedman. That system is grounded in well-established clinical principles based on decades of use and the objectively documented association of some labor abnormalities with poor fetal and maternal outcomes. Recommendations for new clinical management protocols should require the demonstration of superior outcomes through extensive, preferably prospective, assessment. Using untested guidelines for the management of labor may adversely affect women and children. Even if those guidelines were to reduce the currently excessive cesarean delivery rate, the price of that benefit is likely to be a trade-off in harm to parturients and their offspring. The nature and degree of that harm needs to be documented before considering adoption of the guidelines. Copyright © 2015 Elsevier Inc. All rights reserved.

European attitudes to water pricing

DEFF Research Database (Denmark)

Jensen, Anne Kejser

2016-01-01

, there is a need for increased understanding of the implementation process and the attitudes towards implementation among the general public. This paper explores the spatial heterogeneity in the public attitude towards internalizing environmental and resource costs in the price of water across the EU regions....... Within an extensive spatial dataset constructed for the purpose, we estimate the effect of individual information levels and affordability concerns on the attitude towards environmental water pricing. Information about water problems is found to have a significant and positive effect on attitudes...

Hedonic price theory: Concept and applications

International Nuclear Information System (INIS)

Metz, W.C.; Lowry, J.; Morey, M.

1990-01-01

Direct and indirect techniques are being used to estimate economic consequences of proximity to existing or proposed public facilities. The hedonic price theory, an indirect technique, is the most logically suited, especially for capturing the shadow or implicit price of a characteristic such as proximity in the real estate market. While the theory is increasingly being used, there is also a growing tendency to draw inferences from the study of one or more hazards and situations and transfer the conclusions to a very different hazard and situation. The use of the hedonic price theory and the issue of transferability to radioactive waste facilities are addressed in this paper. 12 refs

Gasoline prices, gasoline consumption, and new-vehicle fuel economy: Evidence for a large sample of countries

International Nuclear Information System (INIS)

Burke, Paul J.; Nishitateno, Shuhei

2013-01-01

Countries differ considerably in terms of the price drivers pay for gasoline. This paper uses data for 132 countries for the period 1995–2008 to investigate the implications of these differences for the consumption of gasoline for road transport. To address the potential for simultaneity bias, we use both a country's oil reserves and the international crude oil price as instruments for a country's average gasoline pump price. We obtain estimates of the long-run price elasticity of gasoline demand of between − 0.2 and − 0.5. Using newly available data for a sub-sample of 43 countries, we also find that higher gasoline prices induce consumers to substitute to vehicles that are more fuel-efficient, with an estimated elasticity of + 0.2. Despite the small size of our elasticity estimates, there is considerable scope for low-price countries to achieve gasoline savings and vehicle fuel economy improvements via reducing gasoline subsidies and/or increasing gasoline taxes. - Highlights: ► We estimate the determinants of gasoline demand and new-vehicle fuel economy. ► Estimates are for a large sample of countries for the period 1995–2008. ► We instrument for gasoline prices using oil reserves and the world crude oil price. ► Gasoline demand and fuel economy are inelastic with respect to the gasoline price. ► Large energy efficiency gains are possible via higher gasoline prices

Price elasticity of natural gas demand in the power generation sector

International Nuclear Information System (INIS)

McArdle, P.F.

1990-01-01

Today, the demand for energy by the electric generation sector is highly competitive and price-responsive. Previous estimates of the price elasticity of natural gas demand in this sector have focused primarily on data from the 1960s and 1970s. Such estimates fail to take full account of economic, regulatory, and legislative developments that have altered the structure of the electric generation market during the 1980s. Structural changes include an increased ability of utilities to choose among generating options, the increase in non-utility generators, the amending of the Fuel Use Act, and a more competitive market for electricity. An accurate estimate of price elasticity requires a refocusing on data from the post-1983 period. The purpose of this paper is to answer two questions: how price responsive (elastic) is natural gas demand in this market; and what changes in natural gas demand elasticity have occurred over time

Evaluation of dynamic pass-through of carbon prices into electricity prices – a cointegrated VECM analysis

OpenAIRE

Freitas, Carlos J. Pereira; Silva, Patrícia Pereira da

2013-01-01

This paper addresses the impact of the CO2 opportunity cost on the wholesale electricity price in the context of the Iberian electricity market (MIBEL), namely on the Portuguese system, for the period corresponding to the Phase II of the European Union Emission Trading Scheme (EU ETS). In the econometric analysis a vector error correction model (VECM) is specified to estimate both long–run equilibrium relations and short–run interactions between the electricity price and the fuel (natural gas...

Interconnection Guidelines

Science.gov (United States)

The Interconnection Guidelines provide general guidance on the steps involved with connecting biogas recovery systems to the utility electrical power grid. Interconnection best practices including time and cost estimates are discussed.

Constrained Monopoly Pricing with Random Participation

OpenAIRE

Basaluzzo, Gabriel; Miravete, Eugenio J

2007-01-01

We present a flexible model of monopoly nonlinear pricing with endogenous participation decisions of heterogeneous consumers. We make use of the moments that define the few self-selecting tariff options that are commonly used to implement the optimal nonlinear tariff to estimate how demand and cost variables affect the pricing strategies offered by incumbent monopolists in several early U.S. local cellular telephone markets through the different elements of the theoretical model: marginal cos...

7 CFR 1124.50 - Class prices, component prices, and advanced pricing factors.

Science.gov (United States)

2010-01-01

... 7 Agriculture 9 2010-01-01 2009-01-01 true Class prices, component prices, and advanced pricing factors. 1124.50 Section 1124.50 Agriculture Regulations of the Department of Agriculture (Continued... prices, and advanced pricing factors. See § 1000.50. ...

7 CFR 1030.50 - Class prices, component prices, and advanced pricing factors.

Science.gov (United States)

2010-01-01

... 7 Agriculture 9 2010-01-01 2009-01-01 true Class prices, component prices, and advanced pricing factors. 1030.50 Section 1030.50 Agriculture Regulations of the Department of Agriculture (Continued... prices, and advanced pricing factors. See § 1000.50. ...

Gas prices and price process

International Nuclear Information System (INIS)

Groenewegen, G.G.

1992-01-01

On a conference (Gas for Europe in the 1990's) during the Gasexpo '91 the author held a speech of which the Dutch text is presented here. Attention is paid to the current European pricing methods (prices based on the costs of buying, transporting and distributing the natural gas and prices based on the market value, which is deducted from the prices of alternative fuels), and the transparency of the prices (lack of information on the way the prices are determined). Also attention is paid to the market signal transparency and gas-gas competition, which means a more or less free market of gas distribution. The risks of gas-to-gas competition for a long term price stability, investment policies and security of supply are discussed. Opposition against the Third Party Access (TPA), which is the program to implement gas-to-gas competition, is caused by the fear of natural gas companies for lower gas prices and lower profits. Finally attention is paid to government regulation and the activities of the European Commission (EC) in this matter. 1 fig., 6 ills., 1 tab

Price vector effects in choice experiments: an empirical test

International Nuclear Information System (INIS)

Hanley, Nick; Wright, Robert E.; Adamowicz, Wiktor

2005-01-01

This paper investigates whether the preference and willingness-to-pay estimates obtained from the choice experiment method of estimating non-market values are sensitive to the vector of prices used in the experimental design. We undertake this test in the context of water quality improvements under the European Union's new Water Framework Directive. Using a mixed logit model, which allows for differing scale between the two samples, we find no significant impact of changing the price vector on estimates of preferences or willingness-to-pay. (author) (Choice modelling; Non-market valuation; Design effects; Water Framework Directive)

Modeling of the Maximum Entropy Problem as an Optimal Control Problem and its Application to Pdf Estimation of Electricity Price

Directory of Open Access Journals (Sweden)

M. E. Haji Abadi

2013-09-01

Full Text Available In this paper, the continuous optimal control theory is used to model and solve the maximum entropy problem for a continuous random variable. The maximum entropy principle provides a method to obtain least-biased probability density function (Pdf estimation. In this paper, to find a closed form solution for the maximum entropy problem with any number of moment constraints, the entropy is considered as a functional measure and the moment constraints are considered as the state equations. Therefore, the Pdf estimation problem can be reformulated as the optimal control problem. Finally, the proposed method is applied to estimate the Pdf of the hourly electricity prices of New England and Ontario electricity markets. Obtained results show the efficiency of the proposed method.

Global estimations of the inventory and mitigation potential of methane emissions from rice cultivation conducted using the 2006 Intergovernmental Panel on Climate Change Guidelines

Science.gov (United States)

Yan, Xiaoyuan; Akiyama, Hiroko; Yagi, Kazuyuki; Akimoto, Hajime

2009-06-01

The Intergovernmental Panel on Climate Change (IPCC) regularly publishes guidelines for national greenhouse gas inventories and methane emission (CH4) from rice paddies has been an important component of these guidelines. While there have been many estimates of global CH4 emissions from rice fields, none of them have been obtained using the IPCC guidelines. Therefore, we used the Tier 1 method described in the 2006 IPCC guidelines to estimate the global CH4 emissions from rice fields. To accomplish this, we used country-specific statistical data regarding rice harvest areas and expert estimates of relevant agricultural activities. The estimated global emission for 2000 was 25.6 Tg a-1, which is at the lower end of earlier estimates and close to the total emission summarized by individual national communications. Monte Carlo simulation revealed a 95% uncertainty range of 14.8-41.7 Tg a-1; however, the estimation uncertainty was found to depend on the reliability of the information available regarding the amount of organic amendments and the area of rice fields that were under continuous flooding. We estimated that if all of the continuously flooded rice fields were drained at least once during the growing season, the CH4 emissions would be reduced by 4.1 Tg a-1. Furthermore, we estimated that applying rice straw off season wherever and whenever possible would result in a further reduction in emissions of 4.1 Tg a-1 globally. Finally, if both of these mitigation options were adopted, the global CH4 emission from rice paddies could be reduced by 7.6 Tg a-1. Although draining continuously flooded rice fields may lead to an increase in nitrous oxide (N2O) emission, the global warming potential resulting from this increase is negligible when compared to the reduction in global warming potential that would result from the CH4 reduction associated with draining the fields.

78 FR 38102 - Passenger Vessels Accessibility Guidelines

Science.gov (United States)

2013-06-25

... Costs and Benefits The primary estimates of the costs and benefits of the proposed guidelines are shown... quantify the benefits of the proposed guidelines due to the nature of the benefits. The proposed guidelines..., transportation, public accommodation, and leisure. The proposed guidelines would enable these individuals to...

PERFORMANCE OF ALTERNATIVE COMPONENT PRICING SYSTEMS FOR PORK

OpenAIRE

Brorsen, B. Wade; Akridge, Jay T.; Boland, Michael A.; Mauney, Sean; Forrest, John C.

1998-01-01

One method of implementing value-based marketing is a component pricing system. This research develops and evaluates alternative component pricing systems for pork. Two electronic technologies for estimating carcass components (optical probe and electromagnetic scanner) were evaluated on two sets of data representing different populations. Model accuracy increased as additional components were added.

Estimating core inflation : the role of oil price shocks and imported inflation

OpenAIRE

Bjørnland, Hilde Christiane

1997-01-01

This paper calculates core inflation, by imposing long run restrictions on a structural vector autoregression (VAR) model containing the growth rate of output, inflation and oil prices. Core inflation is identified as that component in inflation that has no long run effect on output. No restrictions are placed on the response of output and inflation to the oil price shocks. The analysis is applied to Norway and the United Kingdom, both oil producing OECD countries. A model that ...

Bayesian Option Pricing using Mixed Normal Heteroskedasticity Models

DEFF Research Database (Denmark)

Rombouts, Jeroen; Stentoft, Lars

2014-01-01

Option pricing using mixed normal heteroscedasticity models is considered. It is explained how to perform inference and price options in a Bayesian framework. The approach allows to easily compute risk neutral predictive price densities which take into account parameter uncertainty....... In an application to the S&P 500 index, classical and Bayesian inference is performed on the mixture model using the available return data. Comparing the ML estimates and posterior moments small differences are found. When pricing a rich sample of options on the index, both methods yield similar pricing errors...... measured in dollar and implied standard deviation losses, and it turns out that the impact of parameter uncertainty is minor. Therefore, when it comes to option pricing where large amounts of data are available, the choice of the inference method is unimportant. The results are robust to different...

Inflation and the price of oil in Canada

Energy Technology Data Exchange (ETDEWEB)

Globerman, S A [York Univ., Toronto; Bruce, H A

1976-09-01

A current policy concern in North America is how rapidly (if at all) domestic oil prices should be allowed to rise to world levels. An argument frequently used by those advocating control of domestic prices is that further increases in oil prices would impose undue burdens in the form of greater inflation and unemployment. While long-run costs associated with allocative inefficiencies are recognized, critics of policies calling for decontrolling domestic oil prices argue that the short-run costs associated with greater inflation and higher unemployment outweigh the long-run inefficiencies associated with price controls. Estimates of the impacts of increased oil costs are not easy. Three studies by Ontario on the consumer price index are described, and the authors conclude that the figures from these studies are too high. Some results of U.S. studies are cited. (MCW)

Estimation of Cost Pass Through to Michigan Consumers in the ADM Price Fixing Case

OpenAIRE

Cotterill, Ronald W.

1998-01-01

This report analyzes the economic impact of price fixing in the wet corn milling industry on consumers in the State of Michigan. Two of the companies who produce citric acid have pleaded guilty to fixing its price. In this report we assume that price fixing also occurred among HFCS producers. Given the structure of the corn wet milling industry and the direct purchaser industries, the overcharge is essentially uniform across buyers and selling arrangements. We develop an actual economic model...

Financial effects of pharmaceutical price regulation on R&D spending by EU versus US firms.

Science.gov (United States)

Golec, Joseph; Vernon, John A

2010-01-01

EU countries closely regulate pharmaceutical prices, whereas the US does not. This paper shows how price constraints affect the profitability, stock returns and R&D spending of EU and US firms. Compared with EU firms, US firms are more profitable, earn higher stock returns and spend more on R&D. We tested the relationship between price regulation and R&D spending, and estimated the costs of tight EU price regulation. Although results show that EU consumers enjoyed much lower pharmaceutical price inflation, we estimated that price controls cost EU firms 46 fewer new medicines and 1680 fewer research jobs during our 19-year sample period. Had the US used controls similar to those used in the EU, we estimate it would have led to 117 fewer new medicines and 4368 fewer research jobs in the US.

Per-pack price reductions available from different cigarette purchasing strategies: United States, 2009-2010.

Science.gov (United States)

Pesko, Michael F; Xu, Xin; Tynan, Michael A; Gerzoff, Robert B; Malarcher, Ann M; Pechacek, Terry F

2014-06-01

Following cigarette excise tax increases, smokers may use cigarette price minimization strategies to continue their usual cigarette consumption rather than reducing consumption or quitting. This reduces the public health benefits of the tax increase. This paper estimates the price reductions for a wide-range of strategies, compensating for overlapping strategies. We performed regression analysis on the 2009-2010 National Adult Tobacco Survey (N=13,394) to explore price reductions that smokers in the United States obtained from purchasing cigarettes. We examined five cigarette price minimization strategies: 1) purchasing discount brand cigarettes, 2) using price promotions, 3) purchasing cartons, 4) purchasing on Indian reservations, and 5) purchasing online. Price reductions from these strategies were estimated jointly to compensate for overlapping strategies. Each strategy provided price reductions between 26 and 99cents per pack. Combined price reductions were possible. Additionally, price promotions were used with regular brands to obtain larger price reductions than when price promotions were used with generic brands. Smokers can realize large price reductions from price minimization strategies, and there are many strategies available. Policymakers and public health officials should be aware of the extent that these strategies can reduce cigarette prices. Published by Elsevier Inc.

Estimating Loan-to-value Distributions

DEFF Research Database (Denmark)

Korteweg, Arthur; Sørensen, Morten

2016-01-01

We estimate a model of house prices, combined loan-to-value ratios (CLTVs) and trade and foreclosure behavior. House prices are only observed for traded properties and trades are endogenous, creating sample-selection problems for existing approaches to estimating CLTVs. We use a Bayesian filtering...

The impact of alternative pricing methods for drugs in California Workers' Compensation System: Fee-schedule pricing.

Science.gov (United States)

Wilson, Leslie; Turkistani, Fatema A; Huang, Wei; Tran, Dang M; Lin, Tracy Kuo

2018-01-01

California's Workers' Compensation System (CAWCS) Department of Industrial Relations questioned the adequacy of the current Medi-Cal fee-schedule pricing and requested analysis of alternatives that maximize price availability and maintain budget neutrality. To compare CAWCS pharmacy-dispensed (PD) drug prices under alternative fee schedules, and identify combinations of alternative benchmarks that have prices available for the largest percentage of PD drugs and that best reach budget neutrality. Claims transaction-level data (2011-2013) from CAWCS were used to estimate total annual PD pharmaceutical payments. Medi-Cal pricing data was from the Workman's Compensation Insurance System (WCIS). Average Wholesale Prices (AWP), Wholesale Acquisition Costs (WAC), Direct Prices (DP), Federal Upper Limit (FUL) prices, and National Average Drug Acquisition Costs (NADAC) were from Medi-Span. We matched National Drug Codes (NDCs), pricing dates, and drug quantity for comparisons. We report pharmacy-dispensed (PD) claims frequency, reimbursement matching rate, and paid costs by CAWCS as the reference price against all alternative price benchmarks. Of 12,529,977 CAWCS claims for pharmaceutical products 11.6% (1,462,814) were for PD drugs. Prescription drug cost for CAWCS was over $152M; $63.9M, $47.9M, and $40.6M in 2011-2013. Ninety seven percent of these CAWCS PD claims had a Medi-Cal price. Alternative mechanisms provided a price for fewer claims; NADAC 94.23%, AWP 90.94%, FUL 73.11%, WAC 66.98%, and DP 14.33%. Among CAWCS drugs with no Medi-Cal price in PD claims, AWP, WAC, NADAC, DP, and FUL provided prices for 96.7%, 63.14%, 24.82%, 20.83%, and 15.08% of claims. Overall CAWCS paid 100.52% of Medi-Cal, 60% of AWP, 97% of WAC, 309.53% of FUL, 103.83% of DP, and 136.27% of NADAC. CAWCS current Medi-Cal fee-schedule price list for PD drugs is more complete than all alternative fee-schedules. However, all reimbursement approaches would require combinations of pricing benchmarks

Can environmental sustainability be used to manage energy price risk?

International Nuclear Information System (INIS)

Henriques, Irene; Sadorsky, Perry

2010-01-01

Energy security issues and climate change are two of the most pressing problems facing society and both of these problems are likely to increase energy price variability in the coming years. This paper develops and estimates a model of a company's energy price exposure and presents evidence showing that increases in a company's environmental sustainability lowers its energy price exposure. This result is robust across two different measures of energy prices. These results should be useful to companies seeking new ways of addressing energy price risk as well as governments concerned about the impact that energy price risk can have on economic growth and prosperity. (author)

Price effects of changing quantities supplied at the integrated european fish market

DEFF Research Database (Denmark)

Nielsen, Max; Smit, Jos; Guillen, Jordi

2012-01-01

to be −1.1. This implies that price flexibilities previously estimated for single European countries underestimate price changes at the European level caused by quantity changes. Results indicate that changing quantities can increase revenues from individual species with large own-price flexibilities...

Optimal pricing and investment in the electricity sector in Tamil Nadu, India

Science.gov (United States)

Murthy, Ranganath Srinivas

2001-07-01

Faulty pricing policies and inadequate investment in the power sector are responsible for the chronic power shortages that plague Tamil Nadu and the rest of India. Formulae for optimal pricing rules are derived for a social welfare maximizing Electricity Board which sells electricity that is used both as an intermediate, and as a final good. Because of distributional constraints, the optimal prices deviate systematically from marginal costs. Optimal relative price-marginal cost differentials are computed for Tamil Nadu, and are found to indicate a lower degree of subsidization than the prevailing prices. The rationalization of electricity tariffs would very likely increase the Board's revenues. The cost-effectiveness of nuclear power in India is examined by comparing actual data for the Madras Atomic Power Project and the Singrauli coal-fired thermal power station. The conventional (non-environmental) costs of power generation are compared at both market prices and shadow prices, calculated according to the UNIDO guidelines for project evaluation. Despite favorable assumptions for the costs of the nuclear plant, coal had a decided edge over nuclear in Tamil Nadu. Remarkably, the edge varied little when market prices are replaced by shadow prices in the computations. With regard to the environmental costs, far too much remains unknown. More research is therefore needed on the environmental impacts of both types of power generation before a final choice can be made.

Price asymmetry in the Dutch retail gasoline market

International Nuclear Information System (INIS)

Bettendorf, Leon; Geest, Stephanie A. van der; Varkevisser, Marco

2003-01-01

This article analyses the retail price adjustments in the Dutch gasoline market. We estimate an asymmetric error correction model on weekly price changes for the years 1996-2001. We construct five datasets, one for each working day. The conclusions on asymmetric pricing are shown to differ over these datasets, suggesting that the choice of the day for which the prices are observed matters more than commonly believed. In our view, the insufficient robustness of the outcomes might explain the mixed conclusions found in the literature. Using these two approaches, we also show that the effect of asymmetry on the Dutch consumer costs is negligible. (Author)

Electricity price forecasting through transfer function models

International Nuclear Information System (INIS)

Nogales, F.J.; Conejo, A.J.

2006-01-01

Forecasting electricity prices in present day competitive electricity markets is a must for both producers and consumers because both need price estimates to develop their respective market bidding strategies. This paper proposes a transfer function model to predict electricity prices based on both past electricity prices and demands, and discuss the rationale to build it. The importance of electricity demand information is assessed. Appropriate metrics to appraise prediction quality are identified and used. Realistic and extensive simulations based on data from the PJM Interconnection for year 2003 are conducted. The proposed model is compared with naive and other techniques. Journal of the Operational Research Society (2006) 57, 350-356.doi:10.1057/palgrave.jors.2601995; published online 18 May 2005. (author)

Oil price pass-through into inflation

International Nuclear Information System (INIS)

Chen, Shiu-Sheng

2009-01-01

This paper uses data from 19 industrialized countries to investigate oil price pass-through into inflation across countries and over time. A time-varying pass-through coefficient is estimated and the determinants of the recent declining effects of oil shocks on inflation are investigated. The appreciation of the domestic currency, a more active monetary policy in response to inflation, and a higher degree of trade openness are found to explain the decline in oil price pass-through. (author)

Guidelines for preparation of State water-use estimates for 2015

Science.gov (United States)

Bradley, Michael W.

2017-05-01

The U.S. Geological Survey (USGS) has estimated the use of water in the United States at 5-year intervals since 1950. This report describes the water-use categories and data elements used for the national water-use compilation conducted as part of the USGS National Water-Use Science Project. The report identifies sources of water-use information, provides standard methods and techniques for estimating water use at the county level, and outlines steps for preparing documentation for the United States, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands.As part of this USGS program to document water use on a national scale, estimates of water withdrawals for the categories of public supply, self-supplied domestic, industrial, irrigation, and thermoelectric power are prepared for each county in each State, District, or territory by using the guidelines in this report. County estimates of water withdrawals for aquaculture, livestock, and mining are prepared for each State by using a county-based national model, although water-use programs in each State or Water Science Center have the option of producing independent county estimates of water withdrawals for these categories. Estimates of water withdrawals and consumptive use for thermoelectric power will be aggregated to the county level for each State by the national project; additionally, irrigation consumptive use at the county level will also be provided, although study chiefs in each State have the option of producing independent county estimates of water withdrawals and consumptive use for these categories.Estimates of deliveries of water from public supplies for domestic use by county also will be prepared for each State. As a result, total domestic water use can be determined for each State by combining self-supplied domestic withdrawals and public-supplied domestic deliveries. Fresh groundwater and surface-water estimates will be prepared for all categories of use, and saline groundwater and

Consumer price sensitivity in Dutch health insurance

NARCIS (Netherlands)

M. van Dijk (Machiel); M. Pomp (Marc); R.C.H.M. Douven (Rudy); T. Laske-Aldershof (Trea); F.T. Schut (Erik); W. de Boer (Willem); A. Boo (Anne)

2008-01-01

textabstractAim: To estimate the price sensitivity of consumer choice of health insurance firm. Method: Using paneldata of the flows of insured betweenpairs of Dutch sickness funds during the period 1993-2002, we estimate the sensitivity of these flows to differences in insurance premium. Results:

How Much Will My Child's Operation Cost? Availability of Consumer Prices From US Hospitals for a Common Pediatric Orthopaedic Surgical Procedure.

Science.gov (United States)

Racimo, Allison R; Talathi, Nakul S; Zelenski, Nicole A; Wells, Lawrence; Shah, Apurva S

2018-05-02

Price transparency allows patients to make value-based health care decisions and is particularly important for individuals who are uninsured or enrolled in high-deductible health care plans. The availability of consumer prices for children undergoing orthopaedic surgery has not been previously investigated. We aimed to determine the availability of price estimates from hospitals in the United States for an archetypal pediatric orthopaedic surgical procedure (closed reduction and percutaneous pinning of a distal radius fracture) and identify variations in price estimates across hospitals. This prospective investigation utilized a scripted telephone call to obtain price estimates from 50 "top-ranked hospitals" for pediatric orthopaedics and 1 "non-top-ranked hospital" from each state and the District of Columbia. Price estimates were requested using a standardized script, in which an investigator posed as the mother of a child with a displaced distal radius fracture that needed closed reduction and pinning. Price estimates (complete or partial) were recorded for each hospital. The number of calls and the duration of time required to obtain the pricing information was also recorded. Variation was assessed, and hospitals were compared on the basis of ranking, teaching status, and region. Less than half (44%) of the 101 hospitals provided a complete price estimate. The mean price estimate for top-ranked hospitals ($17,813; range, $2742 to $49,063) was 50% higher than the price estimate for non-top-ranked hospitals ($11,866; range, $3623 to $22,967) (P=0.020). Differences in price estimates were attributable to differences in hospital fees (P=0.003), not surgeon fees. Top-ranked hospitals required more calls than non-top-ranked hospitals (4.4±2.9 vs. 2.8±2.3 calls, P=0.003). A longer duration of time was required to obtain price estimates from top-ranked hospitals than from non-top-ranked hospitals (8.2±9.4 vs. 4.1±5.1 d, P=0.024). Price estimates for pediatric

Computable error estimates of a finite difference scheme for option pricing in exponential Lévy models

KAUST Repository

Kiessling, Jonas

2014-05-06

Option prices in exponential Lévy models solve certain partial integro-differential equations. This work focuses on developing novel, computable error approximations for a finite difference scheme that is suitable for solving such PIDEs. The scheme was introduced in (Cont and Voltchkova, SIAM J. Numer. Anal. 43(4):1596-1626, 2005). The main results of this work are new estimates of the dominating error terms, namely the time and space discretisation errors. In addition, the leading order terms of the error estimates are determined in a form that is more amenable to computations. The payoff is only assumed to satisfy an exponential growth condition, it is not assumed to be Lipschitz continuous as in previous works. If the underlying Lévy process has infinite jump activity, then the jumps smaller than some (Formula presented.) are approximated by diffusion. The resulting diffusion approximation error is also estimated, with leading order term in computable form, as well as the dependence of the time and space discretisation errors on this approximation. Consequently, it is possible to determine how to jointly choose the space and time grid sizes and the cut off parameter (Formula presented.). © 2014 Springer Science+Business Media Dordrecht.

U.S. Residential Photovoltaic (PV) System Prices, Q4 2013 Benchmarks: Cash Purchase, Fair Market Value, and Prepaid Lease Transaction Prices

Energy Technology Data Exchange (ETDEWEB)

Davidson, C.; James, T. L.; Margolis, R.; Fu, R.; Feldman, D.

2014-10-01

The price of photovoltaic (PV) systems in the United States (i.e., the cost to the system owner) has dropped precipitously in recent years, led by substantial reductions in global PV module prices. This report provides a Q4 2013 update for residential PV systems, based on an objective methodology that closely approximates the book value of a PV system. Several cases are benchmarked to represent common variation in business models, labor rates, and module choice. We estimate a weighted-average cash purchase price of $3.29/W for modeled standard-efficiency, polycrystalline-silicon residential PV systems installed in the United States. This is a 46% decline from the 2013-dollar-adjusted price reported in the Q4 2010 benchmark report. In addition, this report frames the cash purchase price in the context of key price metrics relevant to the continually evolving landscape of third-party-owned PV systems by benchmarking the minimum sustainable lease price and the fair market value of residential PV systems.

The effect of excise tax increases on cigarette prices in South Africa

Science.gov (United States)

Linegar, Daniel J; van Walbeek, Corne

2018-01-01

Introduction The effectiveness of excise tax increases as a tool for reducing tobacco consumption depends largely on how the tax increases impact the retail price. We estimate this relationship in South Africa for 2001–2015. Data Statistics South Africa provided disaggregated cigarette price data, used in the calculation of the Consumers’ Price Index. Data on the excise tax per cigarette were obtained from Budget Reviews prepared by the National Treasury of South Africa. Methods Regression equations were estimated for each month. The month-on-month change in cigarette prices in February through April was regressed against March’s excise tax change to estimate the pass-through coefficient. For the other 9 months, the month-on-month change in cigarette price was regressed against monthly dummy variables to determine the size of the non-tax-related price increase in each of these months. The analysis was performed in both nominal and real (inflation-adjusted) terms. Findings Expressed in real terms, the excise tax was undershifted. A R1.00 (one rand) increase in the excise tax is associated with an increase in the retail price of cigarettes of R0.90 in the pre-2010 period, and R0.49 in the post-2010 period. In the pre-2010 period, the tobacco industry increased the retail price of cigarettes in July/August, independent of the excise tax increase. The discretionary July/August price increases largely disappeared after 2010, primarily because the market became more competitive. Conclusion The degree of excise tax pass-through, and the magnitude of discretionary increases in cigarette prices, is significantly determined by the competitive environment in the cigarette market. PMID:28341767

Controlling Electricity Consumption by Forecasting its Response to Varying Prices

DEFF Research Database (Denmark)

Corradi, Olivier; Ochsenfeld, Henning Peter; Madsen, Henrik

2013-01-01

electricity consumption using a one-way price signal. Estimation of the price-response is based on data measurable at grid level, removing the need to install sensors and communication devices between each individual consumer and the price-generating entity. An application for price-responsive heating systems......In a real-time electricity pricing context where consumers are sensitive to varying prices, having the ability to anticipate their response to a price change is valuable. This paper proposes models for the dynamics of such price-response, and shows how these dynamics can be used to control...... is studied based on real data, before conducting a control by price experiment using a mixture of real and synthetic data. With the control objective of following a constant consumption reference, peak heating consumption is reduced by nearly 5%, and 11% of the mean daily heating consumption is shifted....

The relation of monthly spot to futures prices for natural gas

International Nuclear Information System (INIS)

Herbert, J.H.

1993-01-01

The relationship between the spot price for natural gas for a delivery month and the futures contract price for the same delivery month is examined. The estimated regression equation provides a good summary of the relationship between spot and futures prices for the time period and can also be used to obtain accurate forecasts of spot prices. It appears that the natural gas futures market is inefficient. (author)

The European used-car market at a glance: Hedonic resale price valuation in automotive leasing industry

OpenAIRE

Sylvain M. Prado

2009-01-01

In the leasing industry, the risk of loss on sales at the end of the contract term, as well as pricing are critically impacted by the forecasted resale price of the asset (residual value). We apply the Hedonic methodology to European auto lease portfolios, in order to estimate the resale price distribution. The Hedonic approach estimates the price of a good through the valuation of its attributes. Following a discussion on Hedonic prices, we propose an operational model for the automobile res...

An agent-based approach with collaboration among agents. Estimation of wholesale electricity price on PJM and artificial data generated by a mean reverting model