estimating convergence for asian economies using dynamic random variable models abstract this paper analyzes the convergence in per capita gross domestic product gdp among 17 asian countries over the period 1960 1992 we use a dynamic random variables model that allows both country differences and similarities to enter into the analysis of growth and convergence and also corrects for heteroskedasticity and serial correlation we find evidence in favor of regional convergence in these countries with a rate of convergence of around 2 per year

gasoline demand in europe new insights abstract this study utilizes a panel data set from 14 european countries over the period 1990 2004 to estimate a dynamic model specification for gasoline demand previous studies estimating gasoline consumption per total passenger cars ignore the recent increase in the number of diesel cars in most european countries leading to biased elasticity estimates we apply several common dynamic panel estimators to our small sample results show that specifications neglecting the share of diesel cars overestimate short run income price and car ownership elasticities it appears that the results of standard pooled estimators are more reliable than common iv gmm estimators applied to our small data set

comparison of forecast performance for homogeneous heterogeneous and shrinkage estimators some empirical evidence from us electricity and natural gas consumption abstract maddala et al journal of business and economic statistics 15 1997 90 obtained short run and long run elasticities of energy demand for each of 49 us states over the period 1970 1990 they showed that heterogeneous time series estimates for each state yield inaccurate signs for the coefficients while panel data estimates are not valid because the hypothesis of homogeneity of the coefficients was rejected their preferred estimates are those obtained using the shrinkage estimator this paper contrasts the out of sample forecast performance of heterogeneous panel and shrinkage estimators using the maddala et al journal of business and economic statistics 15 1997 90 electricity and natural gas data sets our results show that the homogeneous panel data estimates give the best out of sample forecasts

renewable electricity policies heterogeneity and cost effectiveness abstract renewable electricity policies promote investment in renewable electricity generators and have become increasingly common around the world because of intermittency and the composition of other generators in the power system the value of certain renewable particularly wind and solar varies across locations and technologies this paper investigates the implications of this heterogeneity for the cost effectiveness of renewable electricity policies a simple model of the power system shows that renewable electricity policies cause different investment mixes policies also differ according to their effect on electricity prices and both factors cause the cost effectiveness to vary across policies we use a detailed long run planning model that accounts for intermittency on an hourly basis to compare the cost effectiveness for a range of policies and alternative parameter assumptions the differences in cost effectiveness are economically significant where broader policies such as an emissions price outperform renewable electricity policies

how is demand for natural gas determined across european industrial sectors abstract this paper estimates the response of manufacturing sectors natural gas demand to price and output changes the average response to future changes in absolute and relative prices of the manufacturing industry in an oecd country depends on the mix of manufacturing industries particularly with respect to energy intensity and substitution opportunities in production we estimate short and long run demand elasticities using a shrinkage estimator which allows heterogeneous demand responses across industries for each country our results show that price and output elasticities are heterogeneous within the same manufacturing sector across countries furthermore an output contraction due to e g demand shocks will generally have larger negative effects on gas demand than increases in natural gas prices

the nash solution of a maintenance production differential game abstract a simple two person nonzero sum differential game between the maintenance crew of a firm and the production department of the same firm is considered it is assumed that preventive maintenance decelerates the decrease in quality of a machine whereas the production activities set by the firm reduces the quality of the machine due to the special structure of the game a system of two differential equations for the non cooperative nash solution trajectories can be derived this provides a possibility to obtain qualitative insights into the structure of the solution paths by phase diagram methods without solving the necessary optimality conditions explicitly for small salvage values of the machine it is shown that the optimal maintenance expenditures decrease over time whereas the optimal production rate increases monotonically moreover another interpretation of the differential game analyzed is given as a conflict situation between a firm polluting the environment by producing an output and a governmental agency cleaning up the pollution

a new look at residential electricity demand using household expenditure data the recent push for a federal energy policy that could substantially change electricity prices in the u s highlights the need to obtain accurate residential electricity demand estimates many electricity demand estimates have been obtained based on the assumption that consumers optimize with respect to known marginal prices but increasing empirical evidence suggests that consumers are more likely to respond to average prices under this assumption this paper develops a new strategy based on gmm to estimate household electricity demand our approach allows a national level demand estimation from publicly available expenditure data and utility level consumption data complementing studies that use individual billing data which are richer yet often proprietary we estimate the price elasticity near 1 which is at the upper end in magnitude among the estimates from previous studies we apply our elasticity estimates in a u s climate policy simulation to determine how these elasticity estimates alter consumption and price outcomes compared to the more conservative elasticity estimates commonly used in policy analysis

residential consumption of gas and electricity in the u s the role of prices and income abstract we study the residential demand for electricity and gas working with nationwide household level data that cover recent years namely 1997 2007 our dataset is a mixed panel multi year cross sections of dwellings households in the 50 largest metropolitan areas in the united states as of 2008 we estimate static and dynamic models of electricity and gas demand we find strong household response to energy prices both in the short and long term from the static models we get estimates of the own price elasticity of electricity demand in the 0 860 to 0 667 range while the own price elasticity of gas demand is 0 693 to 0 566 these results are robust to a variety of checks contrary to earlier literature metcalf and hassett 1999 reiss and white 2005 we find no evidence of significantly different elasticities across households with electric and gas heat the price elasticity of electricity demand declines with income but the magnitude of this effect is small these results are in sharp contrast to much of the literature on residential energy consumption in the united states and with the figures used in current government agency practice our results suggest that there might be greater potential for policies which affect energy price than may have been previously appreciated

on the demand for natural gas in urban china abstract using a set of unbalanced panel data for chinese s cities during the period of 2006 2009 this study aims to estimate the price and income elasticities of residential demand for natural gas natural gas consumption is specified as a function of its own price substitute prices urban wages and other supply climate and housing characteristics using a feasible generalised least squares fgls technique which controls for panel heteroskedasticity and panel correlation we find that natural gas consumption is price elastic and income inelastic when other covariates e g the supply of natural gas pipeline and heating degree days are controlled in addition there are large variations in demand behaviours across china s regions there is a substantial income effect on demand for natural gas in southern china whereas the northern regions are found to have a higher price effect in addition the substitution effect between coal and natural gas is significant in north china but is not significant in south china these findings have several important policy implications for natural gas pricing and supply cost analysis in the context of china

grouped coefficients to reduce bias in heterogeneous dynamic panel models with small t we propose the grouped coefficients estimator to reduce bias in dynamic panels with small t that have a multilevel structure to the coefficient and factor loading heterogeneity if groups are chosen such that the within group heterogeneity is small then the grouped coefficients estimator can lead to substantial bias reduction compared to pooled gmm dynamic panel estimators we also propose using a wald test that can be used to assess whether pooled estimators suffer from heterogeneity bias we illustrate the usefulness of grouped coefficients with an application to labour demand in which the coefficients are grouped by sub sector our results suggest that the standard pooled estimates are substantially biased

china s natural gas consumption and subsidies from a sector perspective newhuadu business school research fund china sustainable energy program g 1305 18257 national social science foundation of china 12zd059 ministry of education 10gbj013

the influence of distributed generation penetration levels on energy markets planning of national energy policies brings new dilemmas with the introduction of distributed generators dg economic theory suggests that a perfectly competitive market would lead to efficient pricing in the absence of competition regulators play a fundamental role in attracting reasonably priced finance in order to maintain refurbish and increase the infrastructure and provide services at a reasonable cost energy market price equilibrium is mainly dependent on suppliers generators energy sources and demand represented by conventional utility grid users its behavior is similar to that of other commodities as generation becomes less centralized with the increasing economic viability of renewable energy sources new suppliers are being connected to the grid such evolution means the transition from a monopolistic market to a broader and more open environment with an increasing number of competitors we make use of variational inequalities to model a hypothetical dg market in different scenarios from monopoly to oligopoly to open market such an approach enables different equilibrium outcomes due to different dg penetration levels based on these findings we argue that energy policies for such markets must be developed according to each specific stage of the grid s lifecycle we show how energy policies and market regulations may affect such a transition which may be catastrophic if not managed properly and which is dependent on the energy mix

price elasticity block tariffs and equity of natural gas demand in china investigation based on household level survey data abstract on the basis of a newly established database from the chinese residential energy consumption survey this paper estimates the price elasticity of natural gas demand for the households and investigates the factors that affect residential natural gas consumption in china to address the endogeneity problems the non residential natural gas price has been adopted as the instrumental variable for residential natural gas price results demonstrate that the natural gas demand of chinese households respond significantly to price change with an overall price elasticity coefficient of 0 898 in the meanwhile 1 increase in family members would cause 0 159 rise in natural gas demand and household in the south consumes 28 8 more natural gas than that in the north recognizing the heterogeneity of residential natural gas price elasticity for different households quantile regression technique has further been applied to analyze the distributional effect of natural gas consumption the simulation suggests that the gini coefficient drops from 0 49 to 0 40 after introducing an increasing block tariff scheme to replace the original flat tariff system confirming a price reform has potential to improve the energy equity situation by reshaping the energy consumption pattern

new evidence on the impact of structural reforms on electricity sector performance abstract the evolution of electricity industry over the last decades has shown substantial differences between oecd countries this paper empirically investigates to what extent different structural forms of regulation competition and privatisation explain these international differences it distinguishes three modes of electricity performance a net generation per capita b installed capacity and c labour productivity the empirical model spans the period 1975 2011 and uses panel data econometric techniques our analysis reveals that there is a strongly significant interaction impact on the level of electricity performance between regulation and competition the empirical findings do confirm that a robust independent regulatory scheme must be implemented in order to achieve a competitive electricity market

estimation of short run and long run elasticities of energy demand from panel data using shrinkage estimators this article discusses the problem of obtaining short run and long run elasticities of energy demand for each of 49 states in the united states using data for 21 years estimation using the time series data by each state gave several wrong signs for the coefficients estimation using pooled data was not valid because the hypothesis of homogeneity of the coefficients was rejected shrinkage estimators gave more reasonable results the article presents in a unified framework the classical empirical bayes and bayes approaches for deriving these estimators

how a symmetric is the response of import demand to changes in its determinants evidence from european energy imports abstract energy imports are crucial for european countries yet little is known about determinants of their import demand we update long outdated estimates of import demand elasticities using recent data for crude and derived energy products and contribute to the debate on the asymmetry of import demand by using recent developments in econometric modelling our results have important implications for the geopolitics of energy markets in europe asymmetric income seems to be the most relevant determinant of import demand economic growth and fossil fuel consumption are correlated even in the context of the european agenda towards renewables our results suggest that european economic recovery may derail the drive for lower fossil consumption and that changes in the natural gas market may further complicate this drive especially regarding russia as the primary supplier to the eurozone

price and income elasticities of residential and industrial electricity demand in the european union this study examines the short and long run price and income elasticities of residential and industrial electricity demand in the european union between 1996 and 2016 instrumental variable models using the between estimator as well as dynamic panel models are employed to present robust estimates and to assess the impact of different methodologies on the reported elasticities the long run price elasticity of residential electricity consumption is estimated between 0 53 and 0 56 these elasticities are more inelastic than that of industrial electricity use which is reported between 0 75 and 1 01 the choice of different econometric methodologies has only moderate impact on the estimates while long run residential income elasticity estimates are moderately inelastic and estimated around 0 61 industrial electricity use tends to be closely tied to income with elasticities between 0 76 and 1 08 electricity demand in all sectors is highly price and income inelastic in the short run additionally population density temperatures and policy measures also influence sectoral electricity use the above estimates can aid the design of european energy and environmental policy

energy consumption and economic growth evidence from the economic community of west african states ecowas access to modern energy is believed to be a prerequisite for sustainable development poverty alleviation and the achievement of the millennium development goals however theoretical models and empirical results offer conflicting evidence on the relationship between energy consumption and economic growth that we remain largely unsure of the cause and effect nature of this relationship if indeed a relationship exists at all this paper tests in a panel context the long run relationship between energy access and economic growth for fifteen african countries from 1980 to 2008 by using recently developed panel cointegration techniques we adopt a three stage approach consisting of panel unit root panel cointegration and granger causality tests to study the dynamic causal relationships between energy consumption energy prices and growth as well as relationship between electricity consumption prices and growth results show that gdp and energy consumption as well as gdp and electricity move together in the long run by estimating these long run relationships and testing for causality using panel based error correction models we found unidirectional long run and short run causality the causality is running from gdp to energy consumption in the short run and from energy consumption to gdp in the long run there is also evidence of unidirectional causality running from electricity consumption to gdp in the long run this study thus provides empirical evidence of long run and causal relationships between energy consumption and economic growth for our sample of fifteen countries suggesting that lack or limited access to modern energy services could hamper economic growth and compromise the development prospects of these countries

convergence of per capita carbon dioxide emissions in the eu legend or reality abstract designing appropriate environmental and energy policies in order to meet the kyoto protocol s carbon dioxide co 2 reduction targets in the european union eu requires a detailed examination and thorough understanding of co 2 emission trends across the eu member states this paper investigates whether co 2 emissions have converged across 22 european countries over the 1971 to 2006 period the bayesian shrinkage estimation method is employed to do this work and the results reveal the following first the hypothesis of absolute convergence in per capita co 2 emissions is supported and a slight upward convergence is observed second the fact that countries differ considerably in both their speed of convergence and volatility in emissions makes it possible to identify different groups of countries third the results with respect to convergence do not vary much once the share of industry in gdp is accounted for in a conditional convergence analysis however a decreasing share of industry in gdp seems to contribute to a decline in per capita emissions these findings may carry important implications for both national and eu environmental policies

on error correction models specification interpretation estimation abstract error correction models ecms have proved a popular organising principle in applied econometrics despite the lack of consensus as to exactly what constitutes their defining characteristic and the rather limited role that has been given to economic theory by their proponents this paper uses a historical survey of the evolution of ecms to explain the alternative specifications and interpretations and proceeds to examine their implications for estimation the various approaches are illustrated for wage equations by application to uk labour market data 1855 1987 we demonstrate that error correction models impose strong and testable non linear restrictions on dynamic econometric equations and that they do not obviate the need for modelling the process of expectations formation with the exception of a few special cases both the non linear restrictions and the modelling of expectations have been ignored by those who have treated ecms as merely reparameterisations of dynamic linear regression models or vector autoregressions

internal and international migration in mexico 1995 2000 using micro data from mexico and us 2000 population censuses and following a multi choice variant of roy s 1951 model this article pools into one model the determinants of internal and international migration in mexico while paying explicit attention to the potential problem of self selection the results reveal that ignoring multiple destinations in the migration decision might lead to erroneous inferences about the determinants of migration and the type of selection after controlling for wage differences the results suggest that single adult men with low schooling levels tend to migrate to the us while married women and men with higher levels of schooling tend to migrate within mexico we also found that there are strong differences between domestic and international social networks

natural gas demand at the utility level an application of dynamic elasticities abstract previous studies provide strong evidence that energy demand elasticities vary across regions and states arguing in favor of conducting energy demand studies at the smallest unit of observation for which good quality data are readily available that is the utility level we use monthly data from the residential sector of xcel energy s service territory in colorado for the period january 1994 to september 2006 based on a very general autoregressive distributed lag model this paper uses a new approach to simulate the dynamic behavior of natural gas demand and obtain dynamic elasticities knowing consumers response on a unit time basis enables one to answer a number of questions such as the length of time needed to reach demand stability responses to price and income were found to be much lower even in the long run than has been commonly suggested in the literature interestingly we find that the long run equilibrium is reached relatively quickly around 18 months after a change in price or income has occurred while the literature implies a much longer period for complete adjustments to take place

the heterogeneity of carbon kuznets curves for advanced countries comparing homogeneous heterogeneous and shrinkage bayesian estimators we investigate carbon kuznets curves ckc relationships for advanced countries grouped in policy relevant groups north america and oceania south europe north europe by means of various homogeneous heterogeneous and shrinkage bayesian panel estimators we try to provide an answer to the question how sensitive are the ckc estimates to changes in the level of parameters heterogeneity we do find that in coherence with their policy and economic commitment to carbon reductions and environmental market based instruments implementation bell shapes are present only for northern eu which leads the group of advanced countries the other two lag behind we show for the first time that ckc shapes are present if we net out europe of the southern and less developed countries this is coherent with the kuznets paradigm the negative side of the tale is that they characterize a bunch of few countries other advanced countries lag behind and are far from reaching a ckc dynamics heterogeneous and bayesian

confidence in the familiar an international perspective one striking feature of intemrnational portfolio investment is the extent to which equity portfolios are concentrated in the domestic equity market of the investor the home bias puzzle i examine the role of investors perception of foreign investment risk on their portfolio choices the expected retumrns and risk of foreign investment are specified through an asset pricing model with the home portfolio being the benchmark asset pastor s 2000 domestic capm the model serves as a reference point around which investors can center their prior beliefs i focus on investors prior beliefs that are consistent with the literature on confidence in the familiar foreign equities in terms of both expected returns and risk being viewed less favorably than domestic equities these prior beliefs are then combined with the data on g7 equities and the revised beliefs are used to obtain the global optimal asset allocation to hold predominantly domestic equities each g7 investor has to believe that the risk of foreign investment is several times higher than the actual risk the home bias is more of a puzzle for a u s investor during the 1970s specifying investors prior beliefs around the world capm does not help resolve the puzzle

the ex post impact of an energy tax on household energy demand this paper presents an econometric study dealing with household demand for energy in the netherlands the main objective of the paper is to present an estimation of the actual impact of an already implemented energy tax introduced in the netherlands in 1996 the approach differs from the existing literature in that 1 it uses panel data for the same period in which the tax was introduced and 2 it estimates a demand function that controls for a large set of variables such as outside temperature type of house and of house insulation household cooking behavior and an extensive number of durable goods and electrical appliances the study concludes that in the short term the energy tax had a small but significant impact on energy consumption in the netherlands concretely the yearly average demand reduction was of 8 for electricity and 4 4 for gas additionally the influence of variables other than price and income on household energy demand is discussed using this information the impact that the energy tax had on household energy use can be compared with the energy reduction that could have been achieved when using other policy instruments

modelling and forecasting the demand for natural gas in pakistan abstract this study examines both the short and long term dynamics of natural gas consumption in pakistan through an econometric model sector specific income price and cross price elasticities of natural gas demand are estimated over the period 1978 2011 the estimated income elasticities indicate that real gdp per capita exerts a larger impact on gas consumption as compared to its price the price and cross price elasticities are relatively low indicating consumers indifference in pakistan towards price escalation they neither decrease gas consumption nor try to explore less expensive substitutes for natural gas a validation of the estimated demand equations is performed showing high degree of accuracy through tracking the historical data in order to determine the future outlook of natural gas demand sectoral equations are simulated as baseline both moderate and extreme demand scenarios are projected for the period 2012 2020 ex post simulation resulting through baseline scenario suggests that the power sector is more likely to occupy top position in terms of natural gas consumption it is expected that the natural gas consumption would reach 734 062 mmcft by 2020 followed by the transport sector 238 943 mmcft industrial sector 541 869 mmcft residential sector 304 821 mmcft and the commercial sector 72 784 mmcft furthermore simulation results based on moderate and extreme scenarios reveal that a deliberate increase in natural gas prices reduces per capita natural gas consumption significantly over the forecast time horizon 2012 2020 the findings of this study have significant implications with respect to energy conservation and economic development particularly price and income elasticities have practical relevance for appropriate pricing and income policies additionally forecast results can provide useful support for designing an appropriate infrastructure and investment plan with reference to gas market in future

estimating country specific environmental kuznets curves from panel data a bayesian shrinkage approach designing an efficient global climate policy turns out to be a difficult yet crucial task since there are noteworthy cross country differences in energy and carbon intensities in this article the environmental kuznets curve ekc hypothesis is tested for carbon dioxide co2 emissions and as a modelling technique the iterative bayesian shrinkage procedure is employed to handle the cross country differences the results suggest that first the ekc hypothesis is rejected for 47 out of the 51 countries considered when the heterogeneity in countries energy efficiencies and cross country differences in the co2 emissions trajectories are accounted for second a classification of the results with respect to the development levels of the countries concerned reveals that the emergence of an overall inverted u shaped curve is due to the fact that in high income countries increase in gross domestic product gdp decreases emissions while in low income countries emissions and gdp are positively correlated

pooling in dynamic panel data models an application to forecasting gdp growth rates in this article we analyze issues of pooling models for a given set of n individual units observed over t periods of time when the parameters of the models are different but exhibit some similarity pooling may lead to a reduction of the mean squared error of the estimates and forecasts we investigate theoretically and through simulations the conditions that lead to improved performance of forecasts based on pooled estimates we show that the superiority of pooled forecasts in small samples can deteriorate as the sample size grows empirical results for postwar international real gross domestic product growth rates of 18 organization for economic cooperation and development countries using a model put forward by garcia ferrer highfield palm and zellner and hong among others illustrate these findings when allowing for contemporaneous residual correlation across countries pooling restrictions and criteria have to be rejected when formally tested but generalized least squares gls based pooled for

disentangling temporal patterns in elasticities a functional coefficient panel analysis of electricity demand abstract we introduce a panel model with a nonparametric functional coefficient of multiple arguments the coefficient is a function both of time allowing temporal changes in an otherwise linear model and of the regressor itself allowing nonlinearity in contrast to a time series model the effects of the two arguments can be identified using a panel model we apply the model to the relationship between real gdp and electricity consumption our results suggest that the corresponding elasticities have decreased over time in developed countries but that this decrease cannot be entirely explained by changes in gdp itself or by sectoral shifts

regional impact of changes in disposable income on spanish electricity demand a spatial econometric analysis this paper presents an empirical analysis of residential electricity demand considering the existence of spatial effects this analysis has been performed using aggregate panel data at the province level for 46 spanish provinces for the period from 2001 to 2010 for this purpose we estimated a log log demand equation using a spatial autoregressive model with autoregressive disturbances sarar the purpose of this empirical analysis is to determine the influence of price income and spatial spillovers on residential electricity demand in spain we are particularly interested in analyzing the impact of household disposable income variation across provinces observed during the economic crisis period 2009 2010 the estimation results show relatively low income elasticity and an inelastic demand to prices furthermore the results show the presence of spatial effects in spanish residential electricity consumption

on the structure and form of the gdp nuclear nexus new perspectives and new findings much of the existing literature on the relationship between nuclear energy consumption and gross domestic product gdp deals only with the causal links between these two variables however very little attention has been paid to the structure and form of this relationship this paper first uses panel cointegration techniques to illustrate the form of an inverted u shaped curve that arises from pooled data then applies the iterative empirical bayesian procedure in order to account for the heterogeneity in the coefficients of the long term relationship the empirical results from a multivariate framework involving carbon dioxide co2 emissions reveal that for only 3 of the 21 nuclear countries studied a linear form of the relationship can be justified and that nuclear energy goes from being a normal good to being an inferior good for the majority of the sample countries

environmental regulation of households an empirical review of economic and psychological factors abstract the literature on sustainable consumption and environmental regulation of household behavior is dominated by conceptual and normative approaches as a result many suggestions lack a firm empirical basis to overcome this deficiency econometric studies in three areas of environmentally relevant activities of households are reviewed residential use of energy generation of solid waste and recycling and residential use of water next to price and income elasticities attention is devoted to individual socio economic features and psychological factors such as attitudes knowledge perceptions and values potential psychological determinants and related insights are further examined by discussing a range of representative and illustrative statistical psychological studies of environmental behavior one important general finding is that there are very few empirical studies that systematically combine socio economic and psychological determinants a range of insights for environmental policy is derived and research recommendations are offered

heterogeneous impacts of regulatory policy stringency on the eu electricity industry a bayesian shrinkage dynamic analysis abstract environmental and technical efficiency in the electricity sector is a major focus of regulatory policies aimed at hastening greenhouse gas reduction and lowering energy prices for final consumers understanding the impact of market and environmental regulations on efficiency is crucial for the design and choice of policy packages at the national level the productivity response to regulations depends on unobserved country specific factors that current empirical analyses have not modelled in this framework we analyse the regulation effects on efficiency in the electricity sector for a panel of european union countries we explicitly consider the effects of the environmental regulation along with the market regulation our estimation strategy uses the bayesian shrinkage estimator which can deal with the bias aggregation problem and cross country heterogeneity it allows us to identify the different transmission channels through which regulatory policy is implemented the results highlight divergent behaviours at the country level the direct impacts of the market and environmental regulatory policies on productivity are negative around 2 7 and 2 3 respectively but the countries vary in the degree to which they are able to compensate these negative effects

sensitivity of price elasticity of demand to aggregation unobserved heterogeneity price trends and price endogeneity evidence from u s data abstract 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

mothers and sons preference formation and female labor force dynamics this paper argues that the growing presence of a new type of man one brought up in a family in which the mother worked has been a significant factor in the increase in female labor force participation over time we present cross sectional evidence showing that the wives of men whose mothers worked are themselves significantly more likely to work we use variation in the importance of world war ii as a shock to women s labor force participation as proxied by variation in the male draft rate across u s states to provide evidence in support of the intergenerational consequences of our propagation mechanism

regionally varying and regionally uniform electricity pricing policies compared across four usage categories the objective of our research is to predict how electricity demand varies spatially between status quo regionally uniform electricity pricing and hypothetical regionally varying electricity pricing across usage categories we summarize the empirical results of a case study of electricity demand in south korea with three key findings and their related implications first the price elasticities of electricity demand differ across usage categories specifically electricity demands for manufacturing and retail uses are price inelastic and close to unit elastic respectively while those for agricultural and residential uses are not statistically significant this information is important in designing energy policy because higher electricity prices could reduce electricity demands for manufacturing and retail uses resulting in slower growth in those sectors second spatial spillovers in electricity demand vary across uses understanding the spatial structure of electricity demand provides useful information to energy policy makers for anticipating changes in demand across regions via regionally varying electricity pricing for different uses third simulation results suggest that spatial variations among electricity demands by usage category under a regionally varying electricity pricing policy differ from those under a regionally uniform electricity pricing policy differences in spatial changes between the policies provide information for developing a realistic regionally varying electricity pricing policy according to usage category

metaanalisis de las elasticidades ingreso y precio de la demanda de energia algunas implicaciones de politica publica para america latina the aim of this paper is to analyze the variation in empirical estimates of the income and price elasticities of energy demand the evidence presented through a meta analysis allows identification of the weighted average of the income and price elasticities shows that the estimates are very heterogeneous that there is publication bias and that factors such as region energy sector among others affect its volatility the evidence also indicates that income elasticity in latin america is greater than in the oecd countries and that the price elasticity of energy demand is lower in latin america than in the oecd countries therefore continued economic growth in latin america will be accompanied by a growth in energy demand moreover the establishment of a tax in latin america under the current elasticities is less effective and will be insufficient to control the increase in energy consumption

cross country growth regressions problems of heterogeneity stability and interpretation the paper discusses the issues of heterogeneity and stability of cross country growth regressions that have been used to study the problem of convergence almost all studies use pooled regressions the paper considers the issue of pooling under heterogeneity using a hierarchical bayesian method and estimates growth regressions for different panels studied in earlier papers and different regimes the conclusion is that the convergence rates are higher than those obtained from pooled regressions under the assumption of homogeneity and that there is instability over time in the relationships

the energy demand in the british and german industrial sectors heterogeneity and common factors abstract this paper estimates energy demands for the german and british industrial sectors over the 1978 2004 and the 1991 2004 samples from time series models we can conclude that there is a considerable variation in the value of the coefficients across sectors even though energy demands with sensible parameters can rarely be estimated when using a panel approach the ability of some estimators to allow for diversity across subsectors was an important factor in explaining the estimates for price elasticity on the other hand correlation across panel members or common factors did not markedly influence our results with regard to the estimated parameters our preferred choice for elasticity of economic activity and price in the longer sample is 0 52 and 0 64 similar values are found in the case of the shorter samples bearing in mind the high price elasticity energy taxes can be considered an effective strategy for reducing energy consumption

price and expenditure elasticities of residential energy demand during urbanization an empirical analysis based on the household level survey data in china abstract urbanization one of the most obvious characteristics of economic growth in china has an apparent lock in effect on residential energy consumption pattern it is expected that residential sector would become a major force that drives china s energy consumption after urbanization process we estimate price and expenditure elasticities of residential energy demand using data from china s residential energy consumption survey crecs that covers households at different income levels and from different regional and social groups empirical results from the almost ideal demand system model are in accordance with the basic expectations the demands for electricity natural gas and transport fuels are inelastic in the residential sector due to the unreasonable pricing mechanism we further investigate the sensitivities of different income groups to prices of the three types of energy policy simulations indicate that rationalizing energy pricing mechanism is an important guarantee for energy sustainable development during urbanization finally we put forward suggestions on energy pricing reform in the residential sector based on characteristics of china s undergoing urbanization process and the current energy consumption situations

modeling the impact of a carbon tax a trial analysis for washington state abstract in recent years energy policy makers have proposed a carbon tax as an economy wide policy tool to curb greenhouse gas ghg emissions the quantification of its impact on ghg emissions has relied on an energy economy model whose complexity often makes it difficult to comprehend how it simulates the interaction of a carbon tax and energy demand this study therefore aims at developing an alternative model called the carbon tax analysis model c tam the elasticity based approach used in c tam is less sophisticated than an equilibrium based approach used in an energy economy model but c tam is designed to maximize its predictive capabilities by using a wide range of elasticities for each sector and fuel use accounting for likely changes in fuel mix for electricity generation and addressing the model s sensitivity to elasticity estimates with monte carlo simulation the trial analysis in this study evaluates a potential carbon tax in washington state suggesting a carbon tax at us 30 per metric ton of co 2 tco 2 lowers ghg emissions by 8 4 from the business as usual bau scenario in 2035 the study concludes that c tam can provide meaningful policy implications by forecasting detailed impact on revenues and energy demand for each sector and fuel use

a spatial panel data approach to estimating u s state level energy emissions we take advantage of a long panel data set to estimate the relationship between u s state level carbon dioxide co2 emissions economic activity and other factors we specify a reduced form energy demand model to account for energy consumption activities that drive energy related emissions we contribute to the literature by exploring several spatial panel data models to account for spatial dependence between states estimation results and rigorous diagnostic analysis suggest that 1 economic distance plays a role in intra and inter state co2 emissions and 2 there are statistically significant positive economic spillovers and negative price spillovers to state level emissions

the residential demand for electricity in australia an application of the bounds testing approach to cointegration this paper reports estimates of the long and short run elasticities of residential demand for electricity in australia using the bounds testing procedure to cointegration within an autoregressive distributive lag framework in the long run we find that income and own price are the most important determinants of residential electricity demand while temperature is significant some of the time and gas prices are insignificant our estimates of long run income elasticity and price elasticity of demand are consistent with previous studies although they are towards the lower end of existing estimates as expected the short run elasticities are much smaller than the long run elasticities and the coefficients on the error correction coefficients are small consistent with the fact that in the short run energy appliances are fixed

determinants of urban sprawl in france an analysis using a hierarchical bayes approach on panel data this paper studies the determinants of urban sprawl in france using panel datasets for the four largest metropolitan areas paris lyon marseille lille over the period 1985 98 a measure of urban sprawl is proposed at municipality level due to the huge heterogeneity of the panels it seems difficult to make the fundamental homogeneity assumption underlying pooled models thus random coefficient models under heteroscedasticity of the disturbances are estimated for each metropolitan area using a hierarchical bayes approach based on the markov chain monte carlo simulation method it is found that urban sprawl is positively related to the income growth of the tax payers fiscal households for the period of rapid growth in the late 1980s at the opposite extreme the income effects are negative for non tax payers during the recession income effects are significant neither for tax payers nor for non tax payers fiscal households and are significantly positive for tax payers and negative for non tax paye