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Effective and Equitable Adoption of Opt-In Residential Dynamic Electricity Pricing

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  • S. Borenstein

Abstract

Time-varying retail electricity pricing is very popular with economists, but has little support among regulators and consumers. I propose an opt-in time-varying residential pricing plan that would be equitable to both customers who opt in and those who don’t. Low-income households would, on average, see almost no change in their bills under time-varying pricing, while low-consumption households would see their bills decline somewhat and high-consumption households would see their bills rise. Most importantly, I show that the opt-in approach is unlikely to increase the flat rate charged to other customers by more than a few percentage points. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • S. Borenstein, 2013. "Effective and Equitable Adoption of Opt-In Residential Dynamic Electricity Pricing," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 42(2), pages 127-160, March.
  • Handle: RePEc:kap:revind:v:42:y:2013:i:2:p:127-160
    DOI: 10.1007/s11151-012-9367-3
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    References listed on IDEAS

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    1. repec:aen:journl:2007v28-02-a05 is not listed on IDEAS
    2. Faruqui, Ahmad & George, Stephen, 2005. "Quantifying Customer Response to Dynamic Pricing," The Electricity Journal, Elsevier, vol. 18(4), pages 53-63, May.
    3. Kahn, Alfred E, 1979. "Applications of Economics to an Imperfect World," American Economic Review, American Economic Association, vol. 69(2), pages 1-13, May.
    4. 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.
    5. repec:aen:journl:2007v28-02-a06 is not listed on IDEAS
    6. Severin Borenstein & Stephen Holland, 2005. "On the Efficiency of Competitive Electricity Markets with Time-Invariant Retail Prices," RAND Journal of Economics, The RAND Corporation, vol. 36(3), pages 469-493, Autumn.
    7. Herter, Karen & McAuliffe, Patrick & Rosenfeld, Arthur, 2007. "An exploratory analysis of California residential customer response to critical peak pricing of electricity," Energy, Elsevier, vol. 32(1), pages 25-34.
    8. Severin Borenstein, 2002. "The Trouble With Electricity Markets: Understanding California's Restructuring Disaster," Journal of Economic Perspectives, American Economic Association, vol. 16(1), pages 191-211, Winter.
    9. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    10. repec:aen:journl:2005v26-03-a05 is not listed on IDEAS
    11. Alexander, Barbara R., 2010. "Dynamic Pricing? Not So Fast! A Residential Consumer Perspective," The Electricity Journal, Elsevier, vol. 23(6), pages 39-49, July.
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    Keywords

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    JEL classification:

    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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