Estimation of elasticity price of electricity with incomplete information
AbstractThe sharp increase in energy prices and growing concern for environmental issues, among other things, are behind the renewed interest in energy demand estimation. However, there is scarce academic literature that takes real situation of energy suppliers into account: high quality but incomplete data. In this paper, we propose a useful and rather simple instrument for estimating electricity demand with the incomplete and/or imperfect data currently available to suppliers. In particular, using real expenditure and consumption data on electricity, we employ a model of random effects for panel data to estimate residential and industrial electricity demand in Spain.
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Bibliographic InfoArticle provided by Elsevier in its journal Energy Economics.
Volume (Year): 34 (2012)
Issue (Month): 3 ()
Contact details of provider:
Web page: http://www.elsevier.com/locate/eneco
Electricity demand; Microeconometrics; Panel data;
Other versions of this item:
- Xavier Labandeira Villot & José María Labeaga & Xiral López-Otero, 2009. "Estimation of Elasticity Price of Electricity with Incomplete Information," Working Papers 2009-18, FEDEA.
- Xavier Labandeira & José M. Labeaga & Xiral López-Otero, 2010. "Estimation of Elasticity Price of Electricity with Incomplete Information," Working Papers 01-2010, Economics for Energy.
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply
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