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Estimating Aggregate Automotive Income Elasticities from the Population Income-Share Elasticity

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  • Bordley, Robert F
  • McDonald, James B

Abstract

The conventional approach to estimating the income responsiveness of a product's sales involves collecting data on sale s as a function of income and product prices and then estimating a dem and model. In many cases, it is very difficult to either collect the required data or reliably estimate the demand model. This article develops an alternative approach toward estimating these income-responsiveness parameters using only the average income of th e product's buyers and the population income distribution. The authors illustrate their technique with automotive data and obtain fairly intuitive results.

Suggested Citation

  • Bordley, Robert F & McDonald, James B, 1993. "Estimating Aggregate Automotive Income Elasticities from the Population Income-Share Elasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(2), pages 209-214, April.
    • Handle: RePEc:bes:jnlbes:v:11:y:1993:i:2:p:209-14
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    Cited by:

    1. Ufuk Demiroglu & Caglar Yunculer, 2016. "Estimating light-vehicle sales in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 16(3), pages 93-108.
    2. Fox, Jacob & Axsen, Jonn & Jaccard, Mark, 2017. "Picking Winners: Modelling the Costs of Technology-specific Climate Policy in the U.S. Passenger Vehicle Sector," Ecological Economics, Elsevier, vol. 137(C), pages 133-147.
    3. Boriss Siliverstovs & Konstantin A. Kholodilin & Vyacheslav Dombrovsky, 2014. "Using Personal Car Register for Measuring Economic Inequality in Countries with a Large Share of Shadow Economy: Evidence for Latvia," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 948-966, December.

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