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Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities

James A. Espey and Molly Espey ()

Journal of Agricultural & Applied Economics, 2004, vol. 36, issue 1, pages 65-81

Abstract: Meta-analysis is used to quantitatively summarize previous studies of residential electricity demand to determine if there are factors that systematically affect estimated elasticities. In this study, price and income elasticities of residential demand for electricity from previous studies are used as the dependent variables with data characteristics, model structure, and estimation technique as independent variables, using both least square estimation of a semi-log model and maximum likelihood estimation of a gamma model. The findings of this research can help better inform public policy makers, regulators, and utilities about the responsiveness of residential electricity consumers to price and income changes.

Keywords: electricity demand; income elasticity; meta-analysis; price elasticity; residential electricity demand (search for similar items in EconPapers)
JEL-codes: Q40 Q41 D12 (search for similar items in EconPapers)
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Journal of Agricultural & Applied Economics is edited by Jeffrey M. Gillespie

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Address: Secretary/Treasurer, Dept. of Agricultural and Applied Economics, University of Georgia, Georgia Experiment Station, Griffin, Georgia 30223
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Handle: RePEc:jaa:jagape:v:36:y:2004:i:1:p:65-81