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What people do when they say they are conserving electricity

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  • Woods, James

Abstract

Econometric practitioners must always make the case that existing data may be used to forecast future responses to price changes. In residential electricity markets this means providing assurances that either territories with different prices are similar enough to be used as a guide, or that households are still able to react to price changes with the same conservation measures they have in the past. This article presents the results of a conservation behavior survey conducted both concurrent with and immediately after the last California electricity crisis in 2000-2001. The survey used open-ended questions that provide some assurance that there are still conservation behaviors that may be performed, as well as raw data that may be used to construct new closed-ended questions. The prevalence of conservation behaviors is modeled with a forgetfulness process, necessary when using data from open-ended questions, and implemented with a generalized method of moments (GMM) estimator.

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  • Woods, James, 2008. "What people do when they say they are conserving electricity," Energy Policy, Elsevier, vol. 36(6), pages 1945-1956, June.
    • Handle: RePEc:eee:enepol:v:36:y:2008:i:6:p:1945-1956
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    1. Bidwell, Miles O, Jr & Wang, Bruce X & Zona, J Douglas, 1995. "An Analysis of Asymmetric Demand Response to Price Changes: The Case of Local Telephone Calls," Journal of Regulatory Economics, Springer, vol. 8(3), pages 285-298, November.
    2. Trevor Young & Thomas H. Stevens & Cleve Willis, 1983. "Asymmetry in the Residential Demand for Electricity," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    3. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    4. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    5. Halvorsen, Bente & Larsen, Bodil M., 2001. "The flexibility of household electricity demand over time," Resource and Energy Economics, Elsevier, vol. 23(1), pages 1-18, January.
    6. Bruce G. S. Hardie & Eric J. Johnson & Peter S. Fader, 1993. "Modeling Loss Aversion and Reference Dependence Effects on Brand Choice," Marketing Science, INFORMS, vol. 12(4), pages 378-394.
    7. Aigner, Dennis J. & Leamer, Edward E., 1984. "Estimation of time-of-use pricing response in the absence of experimental data : An application of the methodology of data transferability," Journal of Econometrics, Elsevier, vol. 26(1-2), pages 205-227.
    8. 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.
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    Cited by:

    1. Diffney, Seán & Lyons, Seán & Malaguzzi Valeri, Laura, 2013. "Evaluation of the effect of the Power of One campaign on natural gas consumption," Energy Policy, Elsevier, vol. 62(C), pages 978-988.
    2. Pedro Linares & Xavier Labandeira, 2010. "Energy Efficiency: Economics And Policy," Journal of Economic Surveys, Wiley Blackwell, vol. 24(3), pages 573-592, July.
    3. Boudet, Hilary S. & Flora, June A. & Armel, K. Carrie, 2016. "Clustering household energy-saving behaviours by behavioural attribute," Energy Policy, Elsevier, vol. 92(C), pages 444-454.
    4. Ma, Guo & Andrews-Speed, Philip & Zhang, Jiandong, 2013. "Chinese consumer attitudes towards energy saving: The case of household electrical appliances in Chongqing," Energy Policy, Elsevier, vol. 56(C), pages 591-602.
    5. Leighty, Wayne & Meier, Alan, 2011. "Accelerated electricity conservation in Juneau, Alaska: A study of household activities that reduced demand 25%," Energy Policy, Elsevier, vol. 39(5), pages 2299-2309, May.
    6. Diffney, Seán & Lyons, Seán & Malaguzzi Valeri, Laura, 2013. "Evaluation of the effect of the Power of One campaign on natural gas consumption," Energy Policy, Elsevier, vol. 62(C), pages 978-988.

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