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Job Matching on non-separated Occupational Labour Markets

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  • Michael Stops

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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

  • Michael Stops, 2011. "Job Matching on non-separated Occupational Labour Markets," ERSA conference papers ersa11p372, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa11p372
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    References listed on IDEAS

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    1. Pissarides, C A, 1979. "Job Matchings with State Employment Agencies and Random Search," Economic Journal, Royal Economic Society, vol. 89(356), pages 818-833, December.
    2. Gueorgui Kambourov & Iourii Manovskii, 2009. "Occupational Specificity Of Human Capital," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(1), pages 63-115, February.
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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. repec:jid:journl:y:2018:v:25:i:1:p:1-53 is not listed on IDEAS
    4. Boll, Christina & Jahn, Malte & Lagemann, Andreas, 2017. "The gender lifetime earnings gap: Exploring gendered pay from the life course perspective," HWWI Research Papers 179, Hamburg Institute of International Economics (HWWI).

    More about this item

    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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