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Metonymy and Cross Section Demand

Author

Listed:
  • EVSTIGNEEV, Igor V.

    (Central Economics and Mathematics Institute, Academy of Sciences of Russia, Moscow)

  • HILDENBRAND, Werner

    (Department of Economics, University of Bonn)

  • JERISON, Michael

    (Department of Economics, State University of New York at Albany, Albany, New York)

Abstract
Cross section consumer expenditure data are frequently used to make conclusions about consumer demand behavior. Such conclusions, however, can only be justified under certain assumptions, which are often left unstated in the empirical demand literature. An assumption of this type, the metonymy hypothesis, was stated rigorously and then exploited by Hardle, Hildenbrand and Jerison when analyzing the monotonicity property of aggregate demand functions. The purpose of the present paper is to examine the metonymy hypothesis in more detail. We prove that the distribution of demand vectors derived from a not necessarily metonymic population is identical to the distribution derived from some metonymic one. This implies, in particular, that the metonymy hypothesis cannot be rejected or confirmed on the basis of data from a single cross section.

Suggested Citation

  • EVSTIGNEEV, Igor V. & HILDENBRAND, Werner & JERISON, Michael, 1996. "Metonymy and Cross Section Demand," LIDAM Discussion Papers CORE 1996046, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvco:1996046
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    File URL: https://sites.uclouvain.be/core/publications/coredp/coredp1996.html
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    References listed on IDEAS

    as
    1. Hardle, Wolfgang & Hildenbrand, Werner & Jerison, Michael, 1991. "Empirical Evidence on the Law of Demand," Econometrica, Econometric Society, vol. 59(6), pages 1525-1549, November.
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    Cited by:

    1. Michael Jerison & John K.-H. Quah, 2006. "Law of Demand," Discussion Papers 06-07, University at Albany, SUNY, Department of Economics.
    2. Michael Jerison, 2001. "Demand Dispersion, Metonymy and Ideal Panel Data," Discussion Papers 01-11, University at Albany, SUNY, Department of Economics.

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