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Households' self-selection of a dynamic electricity tariff

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Abstract

Offering electricity consumers time-differentiated tariffs may increase demand responsiveness, thereby reducing peak consumption. However, one concern is that time-differentiated tariffs may also attract consumers who benefit because of their consumption pattern, even without a corresponding demand response. A discrete choice model applied to data from a residential dynamic pricing experiment indicates that higher demand flexibility increases the propensity of a household to select dynamic tariffs, while favourable consumption patterns do not influence the tariff choice. The offering of dynamic time-differentiated tariffs is then likely to increase the demand response among residential consumers.

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  • Torgeir Ericson, 2006. "Households' self-selection of a dynamic electricity tariff," Discussion Papers 446, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:446
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    1. Patrick, Robert H., 1990. "Rate structure effects and regression parameter instability across time-of-use electricity pricing experiments," Resources and Energy, Elsevier, vol. 12(2), pages 179-195, July.
    2. Mackie-mason, Jeffrey K., 1990. "Optional time-of-use pricing can be pareto superior or pareto inferior," Economics Letters, Elsevier, vol. 33(4), pages 363-367, August.
    3. Caves, Douglas & Eakin, Kelly & Faruqui, Ahmad, 2000. "Mitigating Price Spikes in Wholesale Markets through Market-Based Pricing in Retail Markets," The Electricity Journal, Elsevier, vol. 13(3), pages 13-23, April.
    4. Aigner, Dennis J & Ghali, Khalifa, 1989. "Self-Selection in the Residential Electricity Time-of-Use Pricing Experiments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(S), pages 131-144, Supplemen.
    5. Train, Kenneth E & McFadden, Daniel L & Goett, Andrew A, 1987. "Consumer Attitudes and Voluntary Rate Schedules for Public Utilities," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 383-391, August.
    6. Mountain, Dean C. & Lawson, Evelyn L., 1995. "Some initial evidence of Canadian responsiveness to time-of-use electricity rates: Detailed daily and monthly analysis," Resource and Energy Economics, Elsevier, vol. 17(2), pages 189-212, August.
    7. Faruqui, Ahmad & George, Stephen, 2005. "Quantifying Customer Response to Dynamic Pricing," The Electricity Journal, Elsevier, vol. 18(4), pages 53-63, May.
    8. Mostafa Baladi, S. & Herriges, Joseph A. & Sweeney, Thomas J., 1998. "Residential response to voluntary time-of-use electricity rates," Resource and Energy Economics, Elsevier, vol. 20(3), pages 225-244, September.
    9. Faruqui, Ahmad & George, Stephen S., 2002. "The Value of Dynamic Pricing in Mass Markets," The Electricity Journal, Elsevier, vol. 15(6), pages 45-55, July.
    10. Matsukawa, Isamu, 2001. "Household Response to Optional Peak-Load Pricing of Electricity," Journal of Regulatory Economics, Springer, vol. 20(3), pages 249-267, November.
    11. Peter C. Reiss & Matthew W. White, 2005. "Household Electricity Demand, Revisited," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 853-883.
    12. Kenneth E. Train, 1991. "Optimal Regulation: The Economic Theory of Natural Monopoly," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200848, April.
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    More about this item

    Keywords

    demand response; dynamic pricing; electricity tariff; self-selection; rate option.;
    All these keywords.

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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