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Residential Demand for Electricity Under Block Rate Structures: Evidence from a Controlled Experiment

Author

Listed:
  • Herriges, Joseph A.
  • King, K.A.

Abstract

Block-rate structures are used extensively in public-utility pricing, including residential electricity. Estimating price elasticities in this context is complicated by the resulting nonlinearity of the consumer's budget constraint. This article estimates the demand for electricity under inverted block rates using data from a residential rate experiment. The study provides an opportunity to obtain short-run price elasticities in an experimental setting and to compare alternative estimators developed for nonlinear budget constraints. Elasticities of demand with respect to individual components of the block rate are developed using a modification of the structural maximum likelihood estimator.

Suggested Citation

  • Herriges, Joseph A. & King, K.A., 1994. "Residential Demand for Electricity Under Block Rate Structures: Evidence from a Controlled Experiment," Staff General Research Papers Archive 1498, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:1498
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    Cited by:

    1. Fell, Harrison & Li, Shanjun & Paul, Anthony, 2014. "A new look at residential electricity demand using household expenditure data," International Journal of Industrial Organization, Elsevier, vol. 33(C), pages 37-47.
    2. Pavanini, Nicola & Feger, Fabian & Radulescu, Doina, 2017. "Welfare and Redistribution in Residential Electricity Markets with Solar Power," CEPR Discussion Papers 12517, C.E.P.R. Discussion Papers.
    3. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2018. "A discrete/continuous choice model on a nonconvex budget set," Econometric Reviews, Taylor & Francis Journals, vol. 37(2), pages 89-113, February.
    4. Dalton, Christina M., 2014. "Estimating demand elasticities using nonlinear pricing," International Journal of Industrial Organization, Elsevier, vol. 37(C), pages 178-191.
    5. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2006. "Bayesian Estimation of Demand Functions under Block Rate Pricing," CIRJE F-Series CIRJE-F-424, CIRJE, Faculty of Economics, University of Tokyo.
    6. Nina Morozko & Natalia Morozko & Valentina Didenko, 2021. "Energy Prices and Households Incomes Growth Proportions in Russia s Case Context," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 243-250.
    7. Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.
    8. Ohler, Adrienne M. & Billger, Sherrilyn M., 2014. "Does environmental concern change the tragedy of the commons? Factors affecting energy saving behaviors and electricity usage," Ecological Economics, Elsevier, vol. 107(C), pages 1-12.
    9. Wu, Ya & Zhang, Li, 2017. "Evaluation of energy saving effects of tiered electricity pricing and investigation of the energy saving willingness of residents," Energy Policy, Elsevier, vol. 109(C), pages 208-217.
    10. Youn, Hyungho & Jin, Hyun Joung, 2016. "The effects of progressive pricing on household electricity use," Journal of Policy Modeling, Elsevier, vol. 38(6), pages 1078-1088.
    11. Çetinkaya, Murat & Başaran, Alparslan A. & Bağdadioğlu, Necmiddin, 2015. "Electricity reform, tariff and household elasticity in Turkey," Utilities Policy, Elsevier, vol. 37(C), pages 79-85.
    12. Frank T. Denton & Dean C. Mountain & Byron G. Spencer, 2003. "Energy Demand with Declining Rate Schedules: An Econometric Model for the U.S. Commercial Sector," Land Economics, University of Wisconsin Press, vol. 79(1), pages 86-105.
    13. Peter J. Danaher, 2002. "Optimal Pricing of New Subscription Services: Analysis of a Market Experiment," Marketing Science, INFORMS, vol. 21(2), pages 119-138, February.
    14. Severin Borenstein, 2012. "The Redistributional Impact of Nonlinear Electricity Pricing," American Economic Journal: Economic Policy, American Economic Association, vol. 4(3), pages 56-90, August.
    15. Lin, Boqiang & Chen, Xing, 2018. "Is the implementation of the Increasing Block Electricity Prices policy really effective?--- Evidence based on the analysis of synthetic control method," Energy, Elsevier, vol. 163(C), pages 734-750.
    16. E. Strazzera, 2006. "Application of the ML Hausman approach to the demand of water for residential use: heterogeneity vs two-error specification," Working Paper CRENoS 200604, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    17. David W. Carter & J. Walter Milon, 2005. "Price Knowledge in Household Demand for Utility Services," Land Economics, University of Wisconsin Press, vol. 81(2).
    18. Tanaka, Makoto & Ida, Takanori, 2013. "Voluntary electricity conservation of households after the Great East Japan Earthquake: A stated preference analysis," Energy Economics, Elsevier, vol. 39(C), pages 296-304.
    19. Zhang, Zibin & Cai, Wenxin & Feng, Xiangzhao, 2017. "How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach," Energy Policy, Elsevier, vol. 105(C), pages 161-172.
    20. Cristina Lopez-Mayan, 2014. "Microeconometric Analysis of Residential Water Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(1), pages 137-166, September.
    21. Radulescu, Doina & Pavanini, Nicola & Feger, Fabian, 2016. "Welfare and Redistribution Effects of Alternative Tariffs in Energy Markets with Solar Power," VfS Annual Conference 2016 (Augsburg): Demographic Change 145669, Verein für Socialpolitik / German Economic Association.
    22. Sania Malik, 2021. "Residential Electricity Consumers and Increasing Block Pricing Policy in Pakistan: Evidence Based on Household Level Primary Data," Journal of Economic Impact, Science Impact Publishers, vol. 3(2), pages 80-87.

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