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Heterogeneity in the Cyclical Sensitivity of Job-to-Job Flows

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  • Schaffner, Sandra

Abstract

Although the cyclical aspects of worker reallocation are investigated in numerous studies, only scarce empirical evidence exists for Germany. Kluve, Schaffner, and Schmidt (2009) emphasize the heterogeneity of cyclical influences for different subgroups of workers, defined by age, gender and skills. This paper contributes to this literature by extending this analysis to job-to-job flows. In fact, job-to-job transitions are found to be the largest flows in the German labor market. The findings suggest that job-finding rates and job-to-job transitions are procyclical while separation rates are acyclical or even countercyclical. The empirical framework employed here allows demographic groups to vary in their cyclical sensitivity. In Germany, young workers have the highest transition rates into and out of employment and between different jobs. Additionally, these transitions are more volatile than those of medium- aged or old workers. By contrast, old workers experience low transition rates and less pronounced swings than the core group of medium-aged, medium- skilled men.

Suggested Citation

  • Schaffner, Sandra, 2009. "Heterogeneity in the Cyclical Sensitivity of Job-to-Job Flows," Ruhr Economic Papers 118, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  • Handle: RePEc:zbw:rwirep:118
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    References listed on IDEAS

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    Cited by:

    1. Rothe, Thomas & Giannelli, Gianna C. & Jaenichen, Ursula, 2013. "Doing well in reforming the labour market? Recent trends in job stability and wages in Germany," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79932, Verein für Socialpolitik / German Economic Association.
    2. Matthias Dütsch & Olaf Struck, 2014. "Employment trajectories in Germany: do firm characteristics and regional disparities matter? [Erwerbsverläufe in Deutschland: Zur Bedeutung betrieblicher Charakteristika und regionaler Disparitäten," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 47(1), pages 107-127, March.
    3. Tyrowicz, Joanna & van der Velde, Lucas, 2018. "Labor reallocation and demographics," Journal of Comparative Economics, Elsevier, vol. 46(1), pages 381-412.
    4. Carlo Gianelle & Giuseppe Tattara, 2014. "Vacancy chains and the business cycle. Stringing together job-to-job transitions in micro data," International Journal of Manpower, Emerald Group Publishing Limited, vol. 35(8), pages 1212-1235, October.
    5. Regina T. Riphahn & Rebecca Schrader, 2017. "Measuring the cyclicality of labour market flows using individual transitions," Applied Economics Letters, Taylor & Francis Journals, vol. 24(9), pages 643-647, May.
    6. Nordmeier, Daniela, 2014. "Worker flows in Germany: Inspecting the time aggregation bias," Labour Economics, Elsevier, vol. 28(C), pages 70-83.

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    More about this item

    Keywords

    Labor force; employment dynamics; worker flows; business cycle; worker heterogeneity; job-to-job;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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