Estimation of elasticity price of electricity with incomplete information

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

Energy Economics, 2012, vol. 34, issue 3, 627-633

Abstract: The 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.

Keywords: Electricity demand; Microeconometrics; Panel data (search for similar items in EconPapers)
JEL-codes: C13 C14 C23 Q41 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (54)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140988311000764
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Estimation of Elasticity Price of Electricity with Incomplete Information (2010)
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:eee:eneeco:v:34:y:2012:i:3:p:627-633

DOI: 10.1016/j.eneco.2011.03.008

Access Statistics for this article

Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().