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Household Electricity Demand, Revisited

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  • Reiss, Peter C.

    (Stanford U)

  • White, Matthew W.

Abstract

Recent efforts to restructure electricity markets have renewed interest in assessing how consumers respond to price changes. This paper develops a model for evaluating the effects of alternative tariff designs on residential electricity use. The model concurrently addresses several inter-related diffi- culties posed by nonlinear pricing, heterogeneity in consumer price sensitivity, and consumption aggregation over time. We estimate the model using extensive data for a representative sample of 1,300 California households. The results imply a strikingly skewed distribution of household electricity price elasticities in the population, with a small fraction of households accounting for most aggregate demand response. We then estimate the aggregate and distributional consequences of recent tariff structure changes in California, the consumption effects of which have been the subject of considerable debate.

Suggested Citation

  • Reiss, Peter C. & White, Matthew W., 2002. "Household Electricity Demand, Revisited," Research Papers 1830, Stanford University, Graduate School of Business.
    • Handle: RePEc:ecl:stabus:1830
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    References listed on IDEAS

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    1. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    2. Maddock, Rodney & Castano, Elkin & Vella, Frank, 1992. "Estimating Electricity Demand: The Cost of Linearising the Budget Constraint," The Review of Economics and Statistics, MIT Press, vol. 74(2), pages 350-354, May.
    3. 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.
    4. Moffitt, Robert, 1986. "The Econometrics of Piecewise-Linear Budget Constraints: A Survey and Exposition of the Maximum Likelihood Method," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(3), pages 317-328, July.
    5. Hausman, Jerry A, 1985. "The Econometrics of Nonlinear Budget Sets," Econometrica, Econometric Society, vol. 53(6), pages 1255-1282, November.
    6. Michael Parti & Cynthia Parti, 1980. "The Total and Appliance-Specific Conditional Demand for Electricity in the Household Sector," Bell Journal of Economics, The RAND Corporation, vol. 11(1), pages 309-321, Spring.
    7. Andre Gabor, 1955. "A Note on Block Tariffs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 23(1), pages 32-41.
    8. 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.
    9. Burtless, Gary & Hausman, Jerry A, 1978. "The Effect of Taxation on Labor Supply: Evaluating the Gary Negative Income Tax Experiments," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 1103-1130, December.
    10. Soren Blomquist & Whitney Newey, 2002. "Nonparametric Estimation with Nonlinear Budget Sets," Econometrica, Econometric Society, vol. 70(6), pages 2455-2480, November.
    11. Julie A. Hewitt & W. Michael Hanemann, 1995. "A Discrete/Continuous Choice Approach to Residential Water Demand under Block Rate Pricing," Land Economics, University of Wisconsin Press, vol. 71(2), pages 173-192.
    12. Blomquist, Sören & Newey, Whitney, 1997. "Nonparametric Estimation of Labor Supply Functions Generated by Piece Wise Linear Budget Constraints," Working Paper Series 1997:24, Uppsala University, Department of Economics.
    13. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    14. Heckman, James J, 1974. "Shadow Prices, Market Wages, and Labor Supply," Econometrica, Econometric Society, vol. 42(4), pages 679-694, July.
    15. Moffitt, Robert, 1990. "The Econometrics of Kinked Budget Constraints," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 119-139, Spring.
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    Cited by:

    1. Dalton, Christina M., 2014. "Estimating demand elasticities using nonlinear pricing," International Journal of Industrial Organization, Elsevier, vol. 37(C), pages 178-191.
    2. Gyamfi, Samuel & Krumdieck, Susan & Urmee, Tania, 2013. "Residential peak electricity demand response—Highlights of some behavioural issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 71-77.
    3. Tosapol Apaitan & Thiti Tosborvorn & Wichsinee Wibulpolprasert, 2020. "Bunching for Free Electricity," PIER Discussion Papers 136, Puey Ungphakorn Institute for Economic Research.
    4. Yan, Xing & Ozturk, Yusuf & Hu, Zechun & Song, Yonghua, 2018. "A review on price-driven residential demand response," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 411-419.
    5. Maria P. Pablo-Romero & Antonio Sánchez-Braza & Javier Sánchez-Rivas, 2017. "Relationships between Hotel and Restaurant Electricity Consumption and Tourism in 11 European Union Countries," Sustainability, MDPI, vol. 9(11), pages 1-14, November.
    6. Venizelou, Venizelos & Makrides, George & Efthymiou, Venizelos & Georghiou, George E., 2020. "Methodology for deploying cost-optimum price-based demand side management for residential prosumers," Renewable Energy, Elsevier, vol. 153(C), pages 228-240.
    7. Athukorala, P.P.A Wasantha & Wilson, Clevo, 2010. "Estimating short and long-term residential demand for electricity: New evidence from Sri Lanka," Energy Economics, Elsevier, vol. 32(Supplemen), pages 34-40, September.
    8. Nidhi Tewathia, 2018. "Consumption Behaviour and Conservation of Household Electricity in Delhi: A Factor Analysis Approach," Asian Bulletin of Energy Economics and Technology, Asian Online Journal Publishing Group, vol. 4(1), pages 22-35.
    9. Tewathia, Nidhi, 2015. "Explaining the Awareness and Attitude of the Delhi Households in context of Electricity Consumption," MPRA Paper 64854, University Library of Munich, Germany.

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