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A credible approach for measuring inframarginal participation in energy efficiency programs

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  • Boomhower, Judson
  • Davis, Lucas W.

Abstract

Economists have long argued that many recipients of energy-efficiency subsidies may be “non-additional,” getting paid to do what they would have done anyway. Demonstrating this empirically has been difficult, however, because of endogeneity concerns and other challenges. In this paper we use a regression discontinuity analysis to examine participation in a large-scale residential energy-efficiency program. Comparing behavior just on either side of several eligibility thresholds, we find that program participation increases with larger subsidy amounts, but that most households would have participated even with much lower subsidy amounts. The large fraction of inframarginal participants means that the larger subsidy amounts are almost certainly not cost-effective. Moreover, the results imply that about half of all participants would have adopted the energy-efficient technology even with no subsidy whatsoever.

Suggested Citation

  • Boomhower, Judson & Davis, Lucas W., 2014. "A credible approach for measuring inframarginal participation in energy efficiency programs," Journal of Public Economics, Elsevier, vol. 113(C), pages 67-79.
    • Handle: RePEc:eee:pubeco:v:113:y:2014:i:c:p:67-79
    DOI: 10.1016/j.jpubeco.2014.03.009
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    as
    1. Erich Battistin & Agar Brugiavini & Enrico Rettore & Guglielmo Weber, 2009. "The Retirement Consumption Puzzle: Evidence from a Regression Discontinuity Approach," American Economic Review, American Economic Association, vol. 99(5), pages 2209-2226, December.
    2. Catherine Wolfram & Orie Shelef & Paul Gertler, 2012. "How Will Energy Demand Develop in the Developing World?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 119-138, Winter.
    3. Ian W.H. Parry, 2002. "A Second-Best Analysis of Environmental Subsidies," Chapters, in: Lawrence H. Goulder (ed.), Environmental Policy Making in Economies with Prior Tax Distortions, chapter 28, pages 555-572, Edward Elgar Publishing.
    4. Filmer, Deon & Schady, Norbert, 2011. "Does more cash in conditional cash transfer programs always lead to larger impacts on school attendance?," Journal of Development Economics, Elsevier, vol. 96(1), pages 150-157, September.
    5. Bovenberg, A Lans & Goulder, Lawrence H, 1996. "Optimal Environmental Taxation in the Presence of Other Taxes: General-Equilibrium Analyses," American Economic Review, American Economic Association, vol. 86(4), pages 985-1000, September.
    6. Atif Mian & Amir Sufi, 2012. "The Effects of Fiscal Stimulus: Evidence from the 2009 Cash for Clunkers Program," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1107-1142.
    7. Peter Grosche & Colin Vance, 2009. "Willingness to Pay for Energy Conservation and Free-Ridership on Subsidization: Evidence from Germany," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 135-154.
    8. 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.
    9. David S. Loughran and Jonathan Kulick, 2004. "Demand-Side Management and Energy Efficiency in the United States," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 19-44.
    10. Sallee, James M. & Slemrod, Joel, 2012. "Car notches: Strategic automaker responses to fuel economy policy," Journal of Public Economics, Elsevier, vol. 96(11), pages 981-999.
    11. Koichiro Ito, 2015. "Asymmetric Incentives in Subsidies: Evidence from a Large-Scale Electricity Rebate Program," American Economic Journal: Economic Policy, American Economic Association, vol. 7(3), pages 209-237, August.
    12. 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.
    13. Lawrence H. Goulder & Ian W.H. Parry & Dallas Burtraw, 2002. "Revenue-Raising versus Other Approaches to Environmental Protection: The Critical Significance of Preexisting Tax Distortions," Chapters, in: Lawrence H. Goulder (ed.), Environmental Policy Making in Economies with Prior Tax Distortions, chapter 24, pages 447-470, Edward Elgar Publishing.
    14. Allcott, Hunt & Mullainathan, Sendhil & Taubinsky, Dmitry, 2014. "Energy policy with externalities and internalities," Journal of Public Economics, Elsevier, vol. 112(C), pages 72-88.
    15. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    16. Gallagher, Kelly Sims & Muehlegger, Erich, 2011. "Giving green to get green? Incentives and consumer adoption of hybrid vehicle technology," Journal of Environmental Economics and Management, Elsevier, vol. 61(1), pages 1-15, January.
    17. Baum-Snow, Nathaniel & Marion, Justin, 2009. "The effects of low income housing tax credit developments on neighborhoods," Journal of Public Economics, Elsevier, vol. 93(5-6), pages 654-666, June.
    18. Edward Miguel & Michael Kremer, 2004. "Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities," Econometrica, Econometric Society, vol. 72(1), pages 159-217, January.
    19. Toshi H. Arimura, Shanjun Li, Richard G. Newell, and Karen Palmer, 2012. "Cost-Effectiveness of Electricity Energy Efficiency Programs," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    20. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    21. Alain de Janvry & Elisabeth Sadoulet, 2006. "Making Conditional Cash Transfer Programs More Efficient: Designing for Maximum Effect of the Conditionality," The World Bank Economic Review, World Bank, vol. 20(1), pages 1-29.
    22. 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.
    23. Bovenberg, A. Lans & Goulder, Lawrence H., 2002. "Environmental taxation and regulation," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 3, chapter 23, pages 1471-1545, Elsevier.
    24. Lori S. Bennear & Jonathan M. Lee & Laura O. Taylor, 2013. "Municipal Rebate Programs for Environmental Retrofits: An Evaluation of Additionality and Cost‐Effectiveness," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(2), pages 350-372, March.
    25. Bovenberg, A.L. & Goulder, L.H., 1996. "Optimal environmental taxation in the presence of other taxes : General equilibrium analyses," Other publications TiSEM 5d4b7517-c5c8-4ef6-ab76-3, Tilburg University, School of Economics and Management.
    26. Chandra, Ambarish & Gulati, Sumeet & Kandlikar, Milind, 2010. "Green drivers or free riders? An analysis of tax rebates for hybrid vehicles," Journal of Environmental Economics and Management, Elsevier, vol. 60(2), pages 78-93, September.
    27. Maximilian Auffhammer & Carl Blumstein & Meredith Fowlie, 2008. "Demand-Side Management and Energy Efficiency Revisited," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 91-104.
    28. 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.
    29. 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.
    30. Hartman, Raymond S, 1988. "Self-Selection Bias in the Evaluation of Voluntary Energy Conservation Programs," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 448-458, August.
    31. Sinai, Todd & Waldfogel, Joel, 2005. "Do low-income housing subsidies increase the occupied housing stock?," Journal of Public Economics, Elsevier, vol. 89(11-12), pages 2137-2164, December.
    32. James M. Sallee, 2011. "The Surprising Incidence of Tax Credits for the Toyota Prius," American Economic Journal: Economic Policy, American Economic Association, vol. 3(2), pages 189-219, May.
    33. Feldstein, Martin & Clotfelter, Charles, 1976. "Tax incentives and charitable contributions in the United States : A microeconometric analysis," Journal of Public Economics, Elsevier, vol. 5(1-2), pages 1-26.
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    More about this item

    Keywords

    Energy efficiency; Regression discontinuity; Additionality;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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