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The Rebound Effect in Residential Electricity Use: Evidence from a Propensity Score Matching Estimator

Author

Listed:
  • Kenichi Mizobuchi

    (Department of Economics, Matsuyama University)

  • Kenji Takeuchi

    (Graduate School of Economics, Kobe University)

Abstract

By combining the propensity score matching with the difference-in-differences method, we examine the change in household electricity consumption that might be caused by the replacement of air-conditioners. The result suggests that the replacement to energy-efficient air-conditioners might decrease power consumption, especially in spring and summer. Furthermore, based on our estimation result, we calculate the size of the rebound effect monthly. The size of the rebound varies considerably with the seasons. We found positive rebound in summer (8% to 22% in August) and winter (134% to 192% in December and January). On the other hand, negative rebound, implying that the actual power-saving effect is greater than the expected saving effect, was found in mild-climate seasons (?3% to ?129%). The average size of the rebound is positive and ranges between 45% and 58%.

Suggested Citation

  • Kenichi Mizobuchi & Kenji Takeuchi, 2016. "The Rebound Effect in Residential Electricity Use: Evidence from a Propensity Score Matching Estimator," Discussion Papers 1639, Graduate School of Economics, Kobe University.
  • Handle: RePEc:koe:wpaper:1639
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    File URL: http://www.econ.kobe-u.ac.jp/RePEc/koe/wpaper/2016/1639.pdf
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    References listed on IDEAS

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    1. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. Gilbert E. Metcalf & Kevin A. Hassett, 1999. "Measuring The Energy Savings From Home Improvement Investments: Evidence From Monthly Billing Data," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 516-528, August.
    4. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    5. Hunt Allcott & Michael Greenstone, 2012. "Is There an Energy Efficiency Gap?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 3-28, Winter.
    6. Jeffrey A. Dubin & Allen K. Miedema & Ram V. Chandran, 1986. "Price Effects of Energy-Efficient Technologies: A Study of Residential Demand for Heating and Cooling," RAND Journal of Economics, The RAND Corporation, vol. 17(3), pages 310-325, Autumn.
    7. Paul L. Joskow & Donald B. Marron, 1992. "What Does a Negawatt Really Cost? Evidence from Utility Conservation Programs," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 41-74.
    8. Lucas W. Davis & Alan Fuchs & Paul Gertler, 2014. "Cash for Coolers: Evaluating a Large-Scale Appliance Replacement Program in Mexico," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 207-238, November.
    9. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    10. Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
    11. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    12. Lucas W. Davis, 2008. "Durable goods and residential demand for energy and water: evidence from a field trial," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 530-546, June.
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    1. Alessandro De Palma & Marco Faillo & Roberto Gabriele, 2023. "Decentralized Energy: How 100% Renewable Energy Regions Affect Households’ Saving Behavior," Discussion Papers of DIW Berlin 2055, DIW Berlin, German Institute for Economic Research.

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    More about this item

    Keywords

    Fractal geometry; Hurst exponent; market efficiency; chaos;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • E39 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Other
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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