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Gasoline Demand Survey

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  • Carol A. Dahl

Abstract

Gasoline demand, which represents almost a quarter of world petroleum consumption, has been the focus of a considerable amount of econometric work since the 1973 oil embargo. However, researchers and policymakers when considering this work are confronted with a bewildering array of elasticities and results that come from a variety of data sets and model types. This survey stratifies these elasticities for statistical analysis and development of summary elasticities, identifies basic issues, and illustrates a strategy for summarizing studies that should be useful to policymakers and researchers in any area of applied work. Because space prohibits discussing all of this work, this survey is limited to those studies that have estimates for gasoline demand, vehicle miles traveled, and miles per gallon.

Suggested Citation

  • Carol A. Dahl, 1986. "Gasoline Demand Survey," The Energy Journal, , vol. 7(1), pages 67-82, January.
    • Handle: RePEc:sae:enejou:v:7:y:1986:i:1:p:67-82
    DOI: 10.5547/ISSN0195-6574-EJ-Vol7-No1-5
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    References listed on IDEAS

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    1. Charles T. Stewart, Jr. & James T. Bennett, 1975. "Urban Size and Structure and Private Expenditures for Gasoline in Large Cities," Land Economics, University of Wisconsin Press, vol. 51(4), pages 365-373.
    2. Archibald, Robert & Gillingham, Robert, 1980. "An Analysis of the Short-Run Consumer Demand for Gasoline Using Household Survey Data," The Review of Economics and Statistics, MIT Press, vol. 62(4), pages 622-628, November.
    3. Robert S. Pindyck, 1979. "The Structure of World Energy Demand," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262661772, April.
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    Citations

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    Cited by:

    1. James M. Poterba, 1991. "Is the Gasoline Tax Regressive?," NBER Chapters, in: Tax Policy and the Economy, Volume 5, pages 145-164, National Bureau of Economic Research, Inc.
    2. Carpenter, Rachel A., 2010. "Sacramento’s Fix I-5 Project: Impact on Bus Transit Ridership," Institute of Transportation Studies, Working Paper Series qt8mq0g9gw, Institute of Transportation Studies, UC Davis.
    3. Hendrik Schmitz & Reinhard Madlener, 2020. "Heterogeneity in price responsiveness for residential space heating in Germany," Empirical Economics, Springer, vol. 59(5), pages 2255-2281, November.
    4. Choo, Sangho, 2003. "Aggregate Relationships between Telecommunications and Travel: Structural Equation Modeling of Time Series Data," University of California Transportation Center, Working Papers qt4p78h623, University of California Transportation Center.
    5. Choo, Sangho & Mokhtarian, Patricia L. & Salomon, Ilan, 2002. "Impacts of Home-Based Telecommuting on Vehicle-Miles Traveled: A Nationwide Time Series Analysis," Institute of Transportation Studies, Working Paper Series qt2gj976x6, Institute of Transportation Studies, UC Davis.
    6. Khazzoom, J. Daniel, 1999. "Pay-at-the-Pump Auto Insurance," RFF Working Paper Series dp-98-13-rev, Resources for the Future.
    7. Gasim, Anwar A. & Agnolucci, Paolo & Ekins, Paul & De Lipsis, Vincenzo, 2023. "Modeling final energy demand and the impacts of energy price reform in Saudi Arabia," Energy Economics, Elsevier, vol. 120(C).
    8. Nasser Al Dossary & Carol A. Dahl, 2009. "Is Global Gasoline Demand Still as Responsive to Price?," Working Papers 2009-01, Colorado School of Mines, Division of Economics and Business.
    9. Michael Morrisey & David Grabowski, 2011. "Gas prices, beer taxes and GDL programmes: effects on auto fatalities among young adults in the US," Applied Economics, Taylor & Francis Journals, vol. 43(25), pages 3645-3654.

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