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Job matching across occupational labour markets

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  • Michael Stops

Abstract

The article refers to job matching processes in occupational labour markets in terms of jobs that share extensive commonalities in their required qualifications and tasks. To date, all studies in this field have been based on the assumption that matching processes only transpire within distinct occupational labour markets and that no occupational changes occur. I present theoretical and empirical arguments that undermine the validity of this assumption. I construct an ‘occupational topology’ based on information about the ways occupational groups may be seen as alternatives in searches for jobs or workers. I then use different empirical models that consider cross-sectional dependency to test the hypothesis that job search and matching occur across occupational labour markets. The results support my hypothesis. The findings suggest that an augmented empirical model should be used that considers job and worker searches across occupational labour markets in estimating job matching elasticities.

Suggested Citation

  • Michael Stops, 2014. "Job matching across occupational labour markets," Oxford Economic Papers, Oxford University Press, vol. 66(4), pages 940-958.
    • Handle: RePEc:oup:oxecpp:v:66:y:2014:i:4:p:940-958.
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    File URL: http://hdl.handle.net/10.1093/oep/gpu018
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    Cited by:

    1. Fedorets, Alexandra & Lottmann, Franziska & Stops, Michael, 2019. "Job matching in connected regional and occupational labour markets," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 53(8), pages 1085-1098.
    2. Vallizadeh, Ehsan & Muysken, Joan & Ziesemer, Thomas, 2013. "Migration, unemployment, and skill downgrading : a specific-factors approach," IAB-Discussion Paper 201313, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Michael Stops, 2016. "Revisiting German labour market reform effects—a panel data analysis for occupational labour markets," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-43, December.
    4. Pauser, Johannes, 2013. "Capital mobility, imperfect labour markets, and the provision of public goods," IAB-Discussion Paper 201309, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Achim Schmillen & Michael Stops & Dewen Wang, 2023. "The Determinants of China's Minimum Wage Rates," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(3), pages 59-91, May.
    6. Goos, Maarten & Rademakers, Emilie & Salomons, Anna & Willekens, Bert, 2019. "Markets for jobs and their task overlap," Labour Economics, Elsevier, vol. 61(C).
    7. Vasilios D. Kosteas, 2020. "Occupational concentration and outcomes for displaced workers," Papers in Regional Science, Wiley Blackwell, vol. 99(4), pages 977-997, August.
    8. Haller, Peter & Heuermann, Daniel F., 2016. "Job search and hiring in local labor markets: Spillovers in regional matching functions," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 125-138.
    9. Michael Lucht & Anette Haas, 2012. "Heterogeneous Firms and Substitution by Tasks: the Productivity Effect of Migrants," ERSA conference papers ersa12p894, European Regional Science Association.
    10. Michael Stops, 2011. "Job Matching on non-separated Occupational Labour Markets," ERSA conference papers ersa11p372, European Regional Science Association.
    11. Dengler, Katharina & Stops, Michael & Vicari, Basha, 2016. "Occupation-specific matching efficiency," IAB-Discussion Paper 201616, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    12. Mönnig, Anke & Zika, Gerd & Maier, Tobias, 2013. "Trade and qualification : linking qualification needs to Germany's export flows," IAB-Discussion Paper 201307, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. Wolfgang Nagl, 2014. "Better Safe than Sorry? The Effects of Income Risk and Unemployment Risk on Wages," LABOUR, CEIS, vol. 28(3), pages 251-268, September.
    14. Werner, Daniel, 2013. "New insights into the development of regional unemployment disparities," IAB-Discussion Paper 201311, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    15. Johann Fuchs & Enzo Weber, 2013. "A new look at the discouragement and the added worker hypotheses: applying a trend--cycle decomposition to unemployment," Applied Economics Letters, Taylor & Francis Journals, vol. 20(15), pages 1374-1378, October.
    16. Anette Haas & Michael Lucht & Norbert Schanne, 2013. "Why to employ both migrants and natives? A study on task-specific substitutability [Warum gleichzeitig Migranten und Einheimische beschäftigen? Eine Untersuchung der Aufgaben-spezifischen Substitui," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 46(3), pages 201-214, September.
    17. Lanfang Deng & Hongyi Li & Wei Shi, 2022. "Willingness for different job mobility types and wage expectations: An empirical analysis based on the online resumes," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 135-161, February.
    18. Michael Stops, 2014. "Job matching across occupational labour markets," Oxford Economic Papers, Oxford University Press, vol. 66(4), pages 940-958.
    19. Elzbieta Antczak & Ewa Galecka-Burdziak & Robert Pater, 2016. "Spatial labour market matching," KAE Working Papers 2016-009, Warsaw School of Economics, Collegium of Economic Analysis.
    20. Weber, Enzo & Zika, Gerd, 2013. "Labour market forecasting : is disaggregation useful?," IAB-Discussion Paper 201314, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    21. Sabine Klinger & Enzo Weber, 2016. "Decomposing Beveridge Curve Dynamics By Correlated Unobserved Components," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 877-894, December.

    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal 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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