Estimation of Elasticity Price of Electricity with Incomplete Information

Xavier Labandeira (), Jose Labeaga and Xiral López-Otero ()
Additional contact information
Xiral López-Otero: Rede (Universidade de Vigo) and Economics for Energy

Working Papers from Economics for Energy

Abstract: The sharp increase in energy prices and growing concern on environmental issues, among other things, are behind the renewed interest in energy demand estimation. However, there is sparce academic literature that takes the 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 incomplete and/or 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.

Keywords: Electricity demand; micro econometrics; panel data (search for similar items in EconPapers)
JEL-codes: C13 C14 C23 Q41 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2010-11
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.eforenergy.org/docpublicaciones/documentos-de-trabajo/WP01-2010.pdf (application/pdf)

Related works:
Journal Article: Estimation of elasticity price of electricity with incomplete information (2012)
Working Paper: Estimation of Elasticity Price of Electricity with Incomplete Information (2009)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:efe:wpaper:01-2010

Access Statistics for this paper

More papers in Working Papers from Economics for Energy
Bibliographic data for series maintained by Pablo Pintos ( this e-mail address is bad, please contact ).