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Differential demand response to gasoline taxes and gasoline prices in the U.S

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  • Tiezzi, Silvia
  • Verde, Stefano F.

Abstract

This paper offers new evidence concerning the difference in consumers’ reactions to changes in gasoline taxes relative to market-induced changes in gasoline prices. Using microdata from the 2007 to 2009 rounds of the U.S. Consumer Expenditure Survey, we estimate a complete system of demand augmented with information on gasoline excise taxes. By relying on a complete system of demand, we are able to estimate elasticities that take behavioral responses into account. Crucially, the model allows gasoline taxes to affect demand in two distinct ways: through relative prices and as long-run policy signals. Different increases in gasoline taxes are considered for simulation. A 13.2¢/gallon tax increase, corresponding to a $15/tCO2 carbon tax, is found to cause, in the long run, a reduction in gasoline demand that is about seven times as big as that induced by an equal market-induced price increase. The same measure of differential demand response is derived for tax increases different in size as well as by income quintile and by region. We discuss the implications of our findings for the design of corrective taxation in the private transport sector.

Suggested Citation

  • Tiezzi, Silvia & Verde, Stefano F., 2016. "Differential demand response to gasoline taxes and gasoline prices in the U.S," Resource and Energy Economics, Elsevier, vol. 44(C), pages 71-91.
  • Handle: RePEc:eee:resene:v:44:y:2016:i:c:p:71-91
    DOI: 10.1016/j.reseneeco.2016.02.003
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    7. Chen, Haotian & Smyth, Russell & Zhang, Xibin, 2017. "A Bayesian sampling approach to measuring the price responsiveness of gasoline demand using a constrained partially linear model," Energy Economics, Elsevier, vol. 67(C), pages 346-354.
    8. Kilian, Lutz & Zhou, Xiaoqing, 2024. "Heterogeneity in the pass-through from oil to gasoline prices: A new instrument for estimating the price elasticity of gasoline demand," Journal of Public Economics, Elsevier, vol. 232(C).
    9. Harju, Jarkko & Kosonen, Tuomas & Laukkanen, Marita & Palanne, Kimmo, 2022. "The heterogeneous incidence of fuel carbon taxes: Evidence from station-level data," Journal of Environmental Economics and Management, Elsevier, vol. 112(C).
    10. Silvia Tiezzi & Stefano F. Verde, 2019. "The signaling effect of gasoline taxes and its distributional implications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 145-169, June.
    11. Chuang, Shih-Hsien, 2024. "Behavioral optimization of US air travel taxes," Research in Transportation Economics, Elsevier, vol. 105(C).
    12. Guangyong Zhang & Lixin Tian & Wenbin Zhang & Xu Yan & Bingyue Wan & Zaili Zhen, 2020. "A Study on the Similarities and Differences of the Conventional Gasoline Spot Price Fluctuation Network between Different Harbors," Sustainability, MDPI, vol. 12(2), pages 1-25, January.
    13. Reaños, Miguel Tovar & De Bruin, Kelly & Meier, David & Yakut, Aykut Mert, 2022. "Economic and Distributional Impacts of turning the Value-Added Tax into a Carbon Tax," Papers WP739, Economic and Social Research Institute (ESRI).
    14. Filippini, Massimo & Heimsch, Fabian, 2016. "The regional impact of a CO2 tax on gasoline demand: A spatial econometric approach," Resource and Energy Economics, Elsevier, vol. 46(C), pages 85-100.
    15. Renner, Sebastian & Lay, Jann & Greve, Hannes, 2017. "Household Welfare and CO₂ Emission Impacts of Energy and Carbon Taxes in Mexico," GIGA Working Papers 301, GIGA German Institute of Global and Area Studies.
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    17. Silvia Tiezzi & Stefano F. Verde, 2017. "The signaling effect of gasoline taxes and its distributional implications," RSCAS Working Papers 2017/06, European University Institute.
    18. Andrew C. Chang & Linda R. Cohen & Amihai Glazer & Urbashee Paul, 2021. "Politicians Avoid Tax Increases Around Elections," Finance and Economics Discussion Series 2021-004, Board of Governors of the Federal Reserve System (U.S.).
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    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • D1 - Microeconomics - - Household Behavior
    • H3 - Public Economics - - Fiscal Policies and Behavior of Economic Agents
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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