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Job Matching on non-separated Occupational Labour Markets

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  • Stops, Michael

Abstract

This work refers to analyses of matching processes on occupational labour markets in Germany. Up to now, all studies in this field are based on the crucial assumption of separate occupational labour markets. I outlined some theoretical considerations that occupational markets are probably not completely separated. By using information about similarities of occupational groups I constructed an "occupational topology" and finally tested my hypothesis of non-separated occupational labour markets with Spatial Econometric Estimators, particularly with a restricted version of a Spatial Durbin Model that includes “spatial” lags for regressors. The results show considerable dependencies between similar occupational groups in the matching process. Particularly, the results indicate occupational specific set-up and set-down processes in similar occupational groups. This has important implications for estimating the matching efficiencies of unemployed and vacancies, because the matching process is not only determined by the unemployed and vacancies in the same occupational group but also by those in other occupational groups.

Suggested Citation

  • Stops, Michael, 2011. "Job Matching on non-separated Occupational Labour Markets," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 49161, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc11:49161
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    References listed on IDEAS

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    Cited by:

    1. Bauer, Anja, 2013. "Mismatch unemployment : evidence from Germany 2000-2010," IAB-Discussion Paper 201310, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Elzbieta Antczak & Ewa Galecka-Burdziak & Robert Pater, 2016. "Spatial Labour Market Matching," CERGE-EI Working Papers wp578, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    3. Christina Boll & Malte Jahn & Andreas Lagemann, 2017. "The gender lifetime earnings gap—exploring gendered pay from the life course perspective," Journal of Income Distribution, Ad libros publications inc., vol. 25(1), pages 1-53, March.
    4. Christina Boll & Malte Jahn & Andreas Lagemann, 2018. "The gender lifetime earnings gap—exploring gendered pay from the life course perspective," Journal of Income Distribution, Ad libros publications inc., vol. 25(1), pages 1-53, March.

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    More about this item

    Keywords

    Unemployment; Vacancies; Matching Model; Panel data; Occupational Labour Markets;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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