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A Meta-analysis of the Price Elasticity of Gasoline Demand. A System of Equations Approach

Author

Listed:
  • Martijn Brons

    (Vrije Universiteit Amsterdam)

  • Peter Nijkamp

    (Vrije Universiteit Amsterdam)

  • Eric Pels

    (Vrije Universiteit Amsterdam)

  • Piet Rietveld

    (Vrije Universiteit Amsterdam)

Abstract

Automobile gasoline demand can be expressed as a multiplicative function of fuel efficiency, mileage per car and car ownership. This implies a linear relationship between the price elasticity of total fuel demand and the price elasticities of fuel efficiency, mileage per car and car ownership. In this meta-analytical study we aim to investigate and explain the variation in empirical estimates of the price elasticity of gasoline demand. A methodological novelty is that we use the linear relationship between the elasticities to develop a meta-analytical estimation approach based on a system of equations. This approach enables us to combine observations of different elasticities and thus increase our sample size. Furthermore it allows for a more detailed interpretation of our meta-regression results. The empirical results of the study demonstrate that the system of equations approach leads to more precise results (i.e., lower standard errors) than a standard! meta-analytical approach. We find that, with a mean price elasticity of -0.53, the demand for gasoline is not very price sensitive. The impact a change in the gasoline price on demand is mainly driven by a response in fuel efficiency and car ownership and to a lesser degree by changes in the mileage per car. Furthermore, we find that study characteristics relating to the geographic area studied, the year of the study, the type of data used, the time horizon and the functional specification of the demand equation have a significant impact on the estimated value of the price elasticity of gasoline demand. See 'A meta-analysis of the price elasticity of gasoline demand. A SUR approach' in Energy Economics (2008). Volume 30, pages 2105-2122.

Suggested Citation

  • Martijn Brons & Peter Nijkamp & Eric Pels & Piet Rietveld, 2006. "A Meta-analysis of the Price Elasticity of Gasoline Demand. A System of Equations Approach," Tinbergen Institute Discussion Papers 06-106/3, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20060106
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    References listed on IDEAS

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    3. Charles Raux, 2011. "Downstream Emissions Trading for Transport," Transportation Research, Economics and Policy, in: Werner Rothengatter & Yoshitsugu Hayashi & Wolfgang Schade (ed.), Transport Moving to Climate Intelligence, chapter 0, pages 209-226, Springer.
    4. Broberg, Thomas, 2014. "Relative income and the WTP for public goods - A case study of forest conservation in Sweden," CERE Working Papers 2014:6, CERE - the Center for Environmental and Resource Economics.
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    7. Reid Ewing & Shima Hamidi & Frank Gallivan & Arthur C Nelson & James B Grace, 2014. "Structural equation models of VMT growth in US urbanised areas," Urban Studies, Urban Studies Journal Limited, vol. 51(14), pages 3079-3096, November.
    8. Elvik, Rune & Ramjerdi, Farideh, 2014. "A comparative analysis of the effects of economic policy instruments in promoting environmentally sustainable transport," Transport Policy, Elsevier, vol. 33(C), pages 89-95.
    9. Mendoza, Miguel Ángel, 2014. "Panorama preliminar de los subsidios y los impuestos a las gasolinas y diésel en los países de América Latina," Documentos de Proyectos 37431, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
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    11. Motamedi, Sina, 2016. "The Effect of Changes in Fuel Prices on the Use of Road Transportation in Ontario," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319275, Transportation Research Forum.
    12. Mori, Keibun, 2012. "Modeling the impact of a carbon tax: A trial analysis for Washington State," Energy Policy, Elsevier, vol. 48(C), pages 627-639.
    13. 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.

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    More about this item

    Keywords

    Meta-analysis; Price elasticities; Gasoline demand; System of equations;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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