The elasticity of demand for gasoline: A semi-parametric analysis

Pin T Ng, James L. Smith

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We use a semi-parametric conditional median as a robust alternative to the parametric conditional mean to estimate the gasoline demand function. Our approach protects against data and specification errors, and may yield a more reliable basis for public-policy decisions that depend on accurate estimates of gasoline demand. As a comparison, we also estimated the parametric translog conditional mean model. Our semi-parametric estimates imply that gasoline demand becomes more price elastic, but also less income elastic, as incomes rise. In addition, we find that demand appears to become more price elastic as prices increase in real terms.

Original languageEnglish (US)
Title of host publicationAdvanced Studies in Theoretical and Applied Econometrics
PublisherSpringer
Pages173-193
Number of pages21
DOIs
StatePublished - Jan 1 2015

Publication series

NameAdvanced Studies in Theoretical and Applied Econometrics
Volume48
ISSN (Print)1570-5811
ISSN (Electronic)2214-7977

Keywords

  • Gasoline Consumption
  • Gasoline Price
  • Income Elasticity
  • Linear Regression Quantile
  • Price Elasticity

ASJC Scopus subject areas

  • Economics and Econometrics

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  • Cite this

    Ng, P. T., & Smith, J. L. (2015). The elasticity of demand for gasoline: A semi-parametric analysis. In Advanced Studies in Theoretical and Applied Econometrics (pp. 173-193). (Advanced Studies in Theoretical and Applied Econometrics; Vol. 48). Springer. https://doi.org/10.1007/978-3-319-03122-4_11