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Testing optimality in job search models

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Abstract

This paper uses Bayesian techniques to compare three definitions of optimality for the basic job search model: the standard income-maximizing definition, an approximation to the standard definition, and a simple alternative. The important role of prior choice in these comparisons is illustrated. Using natural conjugate priors to represent hypothetical samples of data, we find that the simple alternative is preferred to the standard definition of optimality. However, using priors constructed from findings in the literature, we are able to find some evidence in favor of the standard definition of optimality.

Suggested Citation

  • John W. Schindler, 2001. "Testing optimality in job search models," International Finance Discussion Papers 710, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgif:710
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    References listed on IDEAS

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    1. Kiefer, Nicholas M & Steel, Mark F J, 1998. "Bayesian Analysis of the Prototypal Search Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 178-186, April.
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    3. Lancaster, Tony, 1997. "Exact Structural Inference in Optimal Job-Search Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(2), pages 165-179, April.
    4. Mortensen, Dale T., 1987. "Job search and labor market analysis," Handbook of Labor Economics, in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 2, chapter 15, pages 849-919, Elsevier.
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    Econometric models; Job analysis;

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