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Economies of scale and food consumption: a reappraisal of the Deaton-Paxson paradox

Author

Listed:
  • François Gardes

    (TEAM - Université Paris 1)

  • Christophe Starzec

    (TEAM - Université Paris 1, CNRS, INSEE)

Abstract

The paradoxical negative relation between food consumption and the family size analyzed by Deaton and Paxson (1998) is discussed and evaluated on a household consumption panel. This negative relation is confirmed using panel data but weakens considerably when an equivalence scale instead of family size is used and when the change of the family structure over time is taken into account. Moreover, different types of possible estimation biases are discussed and corrected using panel instead of cross section data

Suggested Citation

  • François Gardes & Christophe Starzec, 2000. "Economies of scale and food consumption: a reappraisal of the Deaton-Paxson paradox," Cahiers de la Maison des Sciences Economiques bla00008, Université Panthéon-Sorbonne (Paris 1).
    • Handle: RePEc:mse:wpsorb:bla00008
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    File URL: https://shs.hal.science/halshs-03721665
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    References listed on IDEAS

    as
    1. Angus Deaton & Christina Paxson, 1998. "Economies of Scale, Household Size, and the Demand for Food," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 897-930, October.
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    More about this item

    Keywords

    Food consumption; economies of scale; equivalence scales; panel and cross-section estimates;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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