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Comparative Statics for Dynamic Models: Empirical Implications of the Frisch Decomposition

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  • Chaudhuri, Anita

Abstract

In this paper, the author establishes a link between static and dynamic models using a new set of results related to the Frisch (1959) demand function and a generalization of the Frisch decomposition of demand, which is an alternative to the familiar Slutsky decomposition. It was previously believed that estimates obtained from static models do not directly provide implications for life-cycle behavior. However, the author develops a methodology for inferring intertemporal elasticities of substitution in a dynamic system from parameter estimates of an 'appropriate' static system. This methodology applies to general multiconstraint optimization problems where some constraints may be nonlinear. Copyright 1996 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.

Suggested Citation

  • Chaudhuri, Anita, 1996. "Comparative Statics for Dynamic Models: Empirical Implications of the Frisch Decomposition," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(1), pages 103-114, February.
    • Handle: RePEc:ier:iecrev:v:37:y:1996:i:1:p:103-14
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    Cited by:

    1. Caputo, Michael R. & Levy, Amnon, 2012. "A theory of mood-influenced consumption and investment in health," Mathematical Social Sciences, Elsevier, vol. 63(3), pages 218-227.
    2. Caputo, Michael R., 2021. "New insights in the canonical model of health capital," Mathematical Social Sciences, Elsevier, vol. 110(C), pages 23-33.

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