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Estimation of Elasticity Price of Electricity with Incomplete Information

Xavier Labandeira (), Jose Labeaga and Xiral López-Otero

No 2009-18, Working Papers from FEDEA

Abstract: The sharp increase in energy prices and the growing concern for environmental issues, among other things, are behind the renewed interest in energy demand estimation. However, there is very little academic literature that takes account of the usual situation of energy suppliers: high quality but incomplete data. In this paper, we propose a useful and rather simple instrument for estimating electricity demand with incomplete or/and imperfect data available to suppliers. In particular, using real data of expenditure and consumption of electricity, we employ a model of random effects for panel data in order to estimate residential and industrial electricity demand in Spain.

New Economics Papers: this item is included in nep-ene
Date: 2009-06
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Related works:
Journal Article: Estimation of elasticity price of electricity with incomplete information (2012) Downloads
Working Paper: Estimation of Elasticity Price of Electricity with Incomplete Information (2010) Downloads
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