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Estimation of Elasticity Price of Electricity with Incomplete Information

  • Xavier Labandeira Villot
  • José María Labeaga
  • Xiral López-Otero

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.

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File URL: http://documentos.fedea.net/pubs/dt/2009/dt-2009-18.pdf
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Paper provided by FEDEA in its series Working Papers with number 2009-18.

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Date of creation: Jun 2009
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Handle: RePEc:fda:fdaddt:2009-18
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