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Does energy consumption respond to price shocks ? evidence from a regression-discontinuity design

Author

Listed:
  • Bastos, Paulo
  • Castro, Lucio
  • Cristia, Julian
  • Scartascini, Carlos

Abstract

This paper exploits unique features of a recently introduced tariff schedule for natural gas in Buenos Aires to estimate the short-run impact of price shocks on residential energy utilization. The schedule induces a nonlinear and non-monotonic relationship between households'accumulated consumption and unit prices, thus generating exogenous price variation, which is exploited in a regression-discontinuity design. The results reveal that a price increase causes a prompt and significant decline in gas consumption. They also indicate that consumers respond more to recent past bills than to expected prices, which argues against the assumption that consumers have perfect awareness of complex price schedules.

Suggested Citation

  • Bastos, Paulo & Castro, Lucio & Cristia, Julian & Scartascini, Carlos, 2014. "Does energy consumption respond to price shocks ? evidence from a regression-discontinuity design," Policy Research Working Paper Series 6785, The World Bank.
    • Handle: RePEc:wbk:wbrwps:6785
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    References listed on IDEAS

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    1. James B. Bushnell & Erin T. Mansur, 2005. "Consumption Under Noisy Price Signals: A Study Of Electricity Retail Rate Deregulation In San Diego," Journal of Industrial Economics, Wiley Blackwell, vol. 53(4), pages 493-513, December.
    2. Lucas W. Davis & Erich Muehlegger, 2010. "Do Americans consume too little natural gas? An empirical test of marginal cost pricing," RAND Journal of Economics, RAND Corporation, vol. 41(4), pages 791-810, December.
    3. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    4. 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.
    5. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    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. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    8. Shin, Jeong-Shik, 1985. "Perception of Price When Price Information Is Costly: Evidence from Residential Electricity Demand," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 591-598, November.
    9. Peter C. Reiss & Matthew W. White, 2008. "What changes energy consumption? Prices and public pressures," RAND Journal of Economics, RAND Corporation, vol. 39(3), pages 636-663, September.
    10. Hausmann, J. A. & Kinnucan, M. & McFaddden, D., 1979. "A two-level electricity demand model : Evaluation of the connecticut time-of-day pricing test," Journal of Econometrics, Elsevier, vol. 10(3), pages 263-289, August.
    11. Krichene, Noureddine, 2002. "World crude oil and natural gas: a demand and supply model," Energy Economics, Elsevier, vol. 24(6), pages 557-576, November.
    12. Carlo Fezzi & Derek Bunn, 2010. "Structural Analysis of Electricity Demand and Supply Interactions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 827-856, December.
    13. Parks, Richard W. & Weitzel, David, 1984. "Measuring the consumer welfare effects of time-differentiated electricity prices," Journal of Econometrics, Elsevier, vol. 26(1-2), pages 35-64.
    14. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    15. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    16. Acton, Jan Paul, 1982. "An Evaluation of Economists' Influence on Electric Utility Rate Reforms," American Economic Review, American Economic Association, vol. 72(2), pages 114-119, May.
    17. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    18. Caves, Douglas W. & Christensen, Laurits R., 1980. "Econometric analysis of residential time-of-use electricity pricing experiments," Journal of Econometrics, Elsevier, vol. 14(3), pages 287-306, December.
    19. Liu, Lon-Mu & Lin, Maw-Wen, 1991. "Forecasting residential consumption of natural gas using monthly and quarterly time series," International Journal of Forecasting, Elsevier, vol. 7(1), pages 3-16, May.
    20. Joshua Angrist & Victor Lavy, 2009. "The Effects of High Stakes High School Achievement Awards: Evidence from a Randomized Trial," American Economic Review, American Economic Association, vol. 99(4), pages 1384-1414, September.
    21. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    22. 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.
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    Cited by:

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    4. Harpenau, Franziska & Magalhaes, Katrin Marques & Steffen, Nico & Wiewiorra, Lukas, 2023. "Saving behaviors of private households under varying tariff structures, price levels and incentives - Experimental evidence," WIK Working Papers 7, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH, Bad Honnef.
    5. Alberini,Anna & Umapathi,Nithin, 2021. "What Are the Benefits of Government Assistance with Household Energy Bills ? Evidence from Ukraine," Policy Research Working Paper Series 9669, The World Bank.
    6. Gerard, Francois, 2013. "What Changes Energy Consumption, and for How Long? New Evidence from the 2001 Brazilian Electricity Crisis," RFF Working Paper Series dp-13-06, Resources for the Future.

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    More about this item

    Keywords

    Consumption; Climate Change Economics; Economic Theory&Research; Energy Production and Transportation; Markets and Market Access;
    All these keywords.

    JEL classification:

    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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