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Estimating Matching Efficiency with Variable Search Effort

Author

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  • Marianna Kudlyak

    (Federal Reserve Bank of San Francisco)

  • Andreas Hornstein

    (Federal Reserve Bank of Richmond)

Abstract

We introduce a simple representation of endogenous search effort into the standard matching function with job-seeker heterogeneity. Using the estimated augmented matching function, we study the sources of changes in the average employment transition rate. In the standard matching function, the contribution of matching efficiency is decreasing in the matching function elasticity. In contrast, for our matching function with variable search effort and small matching elasticity, search effort is procyclical, accounting for most of the transition rate volatility; and the decline of the aggregate matching efficiency accounts for a small part of the decline in the transition rate after 2007. For a large matching elasticity, search effort is countercyclical, and large movements in matching efficiency compensate for that; and the decline in the matching efficiency accounts for a large part of the decline in the transition rate after 2007. The data on employment transition rates provide evidence for endogenous search effort but do not separately identify cyclicality of search effort and matching elasticity.

Suggested Citation

  • Marianna Kudlyak & Andreas Hornstein, 2017. "Estimating Matching Efficiency with Variable Search Effort," 2017 Meeting Papers 881, Society for Economic Dynamics.
    • Handle: RePEc:red:sed017:881
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    References listed on IDEAS

    as
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    Cited by:

    1. Wolcott, Erin L., 2021. "Employment inequality: Why do the low-skilled work less now?," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 161-177.
    2. Kohlbrecher, Britta & Merkl, Christian, 2022. "Business cycle asymmetries and the labor market," Journal of Macroeconomics, Elsevier, vol. 73(C).
    3. Joonbae Lee & Hanna Wang, 2021. "Ranking and Search Effort in Matching," Working Papers 1242, Barcelona School of Economics.
    4. Alessandro Gavazza & Simon Mongey & Giovanni L. Violante, 2018. "Aggregate Recruiting Intensity," American Economic Review, American Economic Association, vol. 108(8), pages 2088-2127, August.
    5. Hairault, Jean-Olivier & Langot, Francois & Sopraseuth, Thepthida, 2019. "Unemployment fluctuations over the life cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 334-352.
    6. Hairault, Jean-Olivier & Langot, Francois & Sopraseuth, Thepthida, 2019. "Unemployment fluctuations over the life cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 334-352.
    7. M Alper Çenesiz & Luís Guimarães, 2022. "The cyclicality of job search effort in matching models [Labor supply in the past, present, and future: a Balan ced-Growth perspective]," Oxford Economic Papers, Oxford University Press, vol. 74(4), pages 1195-1213.
    8. Hartl, Tobias & Hutter, Christian & Weber, Enzo, 2021. "Matching for three: big data evidence on search activity of workers, firms, and employment service," IAB-Discussion Paper 202101, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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    More about this item

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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