Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities
Meta-analysis us 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 semilog 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.
Volume (Year): 36 (2004)
Issue (Month): 01 (April)
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- Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
- Bernard, J.T. & Bolduc, D. & Belanger, D., 1993. "Quebec Residential Electricity Demand: A Microeconometric Approach," Papers 9334, Laval - Recherche en Energie.
- Barnes, Roberta & Gillingham, Robert & Hagemann, Robert, 1981. "The Short-run Residential Demand for Electricity," The Review of Economics and Statistics, MIT Press, vol. 63(4), pages 541-552, November.
- Herriges, Joseph A & King, Kathleen Kuester, 1994. "Residential Demand for Electricity under Inverted Block Rates: Evidence from a Controlled Experiment," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 419-430, October.
- Edward C Kokkelenberg & Timothy D. Mount, 1993.
"Oil Shocks and the Demand for Electricity,"
The Energy Journal,
International Association for Energy Economics, vol. 0(Number 2), pages 113-138.
- Kokkelenberg, Edward C. & Mount, Timothy D., 1992. "Oil Shocks And The Demand For Electricity," Working Papers 128100, Cornell University, Department of Applied Economics and Management.
- Murray, Michael P, et al, 1978. "The Demand for Electricity in Virginia," The Review of Economics and Statistics, MIT Press, vol. 60(4), pages 585-600, November.
- Shin, Jeong-Shik, 1985. "Perception of Price When Price Information Is Costly: Evidence from Residential Electricity Demand," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 591-598, November.
- Smith, V. Kerry, 1980. "Estimating the price elasticity of US electricity demand," Energy Economics, Elsevier, vol. 2(2), pages 81-85, April.
- Garcia-Cerrutti, L. Miguel, 2000. "Estimating elasticities of residential energy demand from panel county data using dynamic random variables models with heteroskedastic and correlated error terms," Resource and Energy Economics, Elsevier, vol. 22(4), pages 355-366, October. Full references (including those not matched with items on IDEAS)
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