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Estimating the supply and demand of gasoline using tax data

Author

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  • Coyle, David
  • DeBacker, Jason
  • Prisinzano, Richard

Abstract

We estimate supply and demand functions for the U.S. gasoline market using information from excise tax returns provided by the IRS for the period 1990–2009. We find price and income elasticities of demand similar to those found using EIA data. We find a price elasticity of supply of 0.29, which differs from the common assumption of a perfectly inelastic short-run supply curve. By using a novel data source, the analysis provides a robustness check of aggregate studies of gasoline demand and a consistent, econometric estimate of the price elasticity of gasoline supply. The results are useful in guiding tax and regulatory policies regarding gasoline consumption.

Suggested Citation

  • Coyle, David & DeBacker, Jason & Prisinzano, Richard, 2012. "Estimating the supply and demand of gasoline using tax data," Energy Economics, Elsevier, vol. 34(1), pages 195-200.
  • Handle: RePEc:eee:eneeco:v:34:y:2012:i:1:p:195-200
    DOI: 10.1016/j.eneco.2011.07.011
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    References listed on IDEAS

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    Cited by:

    1. repec:eee:eneeco:v:67:y:2017:i:c:p:111-120 is not listed on IDEAS
    2. Burke, Paul J. & Nishitateno, Shuhei, 2013. "Gasoline prices, gasoline consumption, and new-vehicle fuel economy: Evidence for a large sample of countries," Energy Economics, Elsevier, vol. 36(C), pages 363-370.
    3. repec:eee:rensus:v:80:y:2017:i:c:p:538-549 is not listed on IDEAS
    4. Belal E. Baaquie, 2012. "Statistical Microeconomics," Papers 1211.7172, arXiv.org.
    5. Scott, K. Rebecca, 2012. "Rational habits in gasoline demand," Energy Economics, Elsevier, vol. 34(5), pages 1713-1723.
    6. Scheitrum, Daniel, 2017. "Renewable Natural Gas as a Solution to Climate Goals: Response to California's Low Carbon Fuel Standard," MPRA Paper 77193, University Library of Munich, Germany.
    7. Dumortier, Jerome & Kent, Matthew W. & Payton, Seth B., 2016. "Plug-in vehicles and the future of road infrastructure funding in the United States," Energy Policy, Elsevier, vol. 95(C), pages 187-195.
    8. Neto, David, 2012. "Testing and estimating time-varying elasticities of Swiss gasoline demand," Energy Economics, Elsevier, vol. 34(6), pages 1755-1762.
    9. Baaquie, Belal E., 2013. "Statistical microeconomics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4400-4416.
    10. Baaquie, Belal E. & Du, Xin & Tanputraman, Winson, 2015. "Empirical microeconomics action functionals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 19-37.
    11. Ghoddusi, Hamed, 2017. "Blending under uncertainty: Real options analysis of ethanol plants and biofuels mandates," Energy Economics, Elsevier, vol. 61(C), pages 110-120.
    12. Bigerna, S. & Bollino, C.A. & Micheli, S. & Polinori, P., 2017. "Revealed and stated preferences for CO2 emissions reduction: The missing link," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1213-1221.
    13. Dumortier, Jerome & Kent, Matthew & Payton, Seth, 2015. "Plug-in vehicles and the future of road infrastructure funding in the United States," IU SPEA AgEcon Papers 202177, Indiana University, IU School of Public and Environmental Affairs.

    More about this item

    Keywords

    Gasoline demand; Gasoline supply; Excise taxes;

    JEL classification:

    • 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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