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Biases in consumer elasticities based on micro and aggregate data: an integrated framework and empirical evaluation

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  • Frank T. Denton

    (McMaster University)

  • Dean C. Mountain

    (McMaster University)

Abstract

Policy analysis frequently requires estimates of aggregate (or mean) consumer elasticities. However, estimates are often made incorrectly, based on elasticity calculations at mean income. We provide in this paper an overall integrated analytical framework that encompasses these biases and others. We then use empirically derived parameter estimates to simulate and quantify the full range of biases. We do that for alternative income distributions and four different demand models. The biases can be quite large; they generally grow as the degree of income inequality rises, the underlying expenditure elasticity differs from one, and the rank of the model increases.

Suggested Citation

  • Frank T. Denton & Dean C. Mountain, 2016. "Biases in consumer elasticities based on micro and aggregate data: an integrated framework and empirical evaluation," Empirical Economics, Springer, vol. 50(2), pages 531-560, March.
    • Handle: RePEc:spr:empeco:v:50:y:2016:i:2:d:10.1007_s00181-015-0939-6
    DOI: 10.1007/s00181-015-0939-6
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    References listed on IDEAS

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    More about this item

    Keywords

    Aggregate consumer elasticities; Aggregation bias; Consumer demand; Income inequality; Income distribution; Model rank;
    All these keywords.

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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