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Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand

Author

Listed:
  • Jonathan E. Hughes
  • Christopher R. Knittel
  • Daniel Sperling

Abstract

Understanding the sensitivity of gasoline demand to changes in prices and income has important implications for policies related to climate change, optimal taxation and national security. The short-run price and income elasticities of gasoline demand in the United States during the 1970s and 1980s have been studied extensively. However, transportation analysts have hypothesized that behavioral and structural factors over the past several decades have changed the responsiveness of U.S. consumers to changes in gasoline prices. We compare the price and income elasticities of gasoline demand in two periods of similarly high prices from 1975 to 1980 and 2001 to 2006. The short-run price elasticities differ considerably: and range from -0.034 to -0.077 during 2001 to 2006, versus -0.21 to -0.34 for 1975 to 1980. The estimated short-run income elasticities range from 0.21 to 0.75 and when estimated with the same models are not significantly different between the two periods.

Suggested Citation

  • Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2008. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," The Energy Journal, , vol. 29(1), pages 113-134, January.
  • Handle: RePEc:sae:enejou:v:29:y:2008:i:1:p:113-134
    DOI: 10.5547/ISSN0195-6574-EJ-Vol29-No1-9
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    References listed on IDEAS

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    Cited by:

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    6. Tenney, Katelyn & Cavlovic, Therese, 2026. "Carbon tax earmarking in a conservative state: Choice experiment evidence from Utah," Ecological Economics, Elsevier, vol. 240(C).
    7. 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).
    8. Mamkhezri, Jamal & Khezri, Mohsen, 2026. "Corrigendum to “Vehicle miles traveled induced demand, rebound effect, and price and income elasticities: A US spatial econometric analysis” [Trans. Pol. 158 (2024), 224–240]," Transport Policy, Elsevier, vol. 181(C).
    9. Colina, Armando R. & Gafarov, Bulat & Hilscher, Jens, 2025. "California gasoline demand elasticity estimated using refinery outages," Energy Economics, Elsevier, vol. 148(C).
    10. Belloc, Ignacio & Gimenez-Nadal, José Ignacio & Molina, José Alberto, 2024. "The gasoline price and the commuting behavior of US commuters: Exploring changes to green travel mode choices," Journal of Transport Geography, Elsevier, vol. 121(C).
    11. Fidel Gonzalez & Diya Mazumder, 2025. "Do Declining Vehicle Attributes Eliminate the Direct Rebound Effect?," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 51(2), pages 198-224, April.
    12. Natalia Fabra & Clément Leblanc & Mateus Souza, 2025. "Unpacking the Distributional Implications of the Energy Crisis: Lessons from the Iberian Electricity Market," CESifo Working Paper Series 12093, CESifo.
    13. Zhu, Peng & Chen, Xiaotian & Zhang, Ziyi & Li, Peishan & Cheng, Xi & Dai, Yucheng, 2025. "AI-driven hypergraph neural network for predicting gasoline price trends," Energy Economics, Elsevier, vol. 151(C).
    14. Christopher D. Walker, 2024. "Semiparametric Bayesian Inference for a Conditional Moment Equality Model," Papers 2410.16017, arXiv.org, revised Mar 2026.
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    16. Brian C. Albrecht & Alex Tabarrok & Mark Whitmeyer, 2026. "Chaos and Misallocation under Price Controls," Papers 2602.12066, arXiv.org, revised Mar 2026.

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