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The Nature and Extent of Job Separations in Germany: Some New Evidence from SOEP

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  • Getinet Haile

Abstract

This paper analyses job separations in Germany using data from the German Socio- Economic Panel spanning from 1984 to 2003. Based on detailed reasons for job separation and different SOEP samples, the paper attempts to establish the nature of job separations in Germany. It brings to light some patterns of separations that have hitherto been unexplored. The findings of the study suggest, among others, that minority group status is important in characterising job separations, particularly in the event of exogenous shocks. Targeting minorities in the face of a major shock of the sort experienced in Germany might be a policy option.

Suggested Citation

  • Getinet Haile, 2009. "The Nature and Extent of Job Separations in Germany: Some New Evidence from SOEP," SOEPpapers on Multidisciplinary Panel Data Research 208, DIW Berlin, The German Socio-Economic Panel (SOEP).
  • Handle: RePEc:diw:diwsop:diw_sp208
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    References listed on IDEAS

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    Cited by:

    1. Matthias S. Hertweck & Oliver Sigrist, 2012. "The Aggregate Effects of the Hartz Reforms in Germany," Working Paper Series of the Department of Economics, University of Konstanz 2012-38, Department of Economics, University of Konstanz.
    2. Goerke, Laszlo & Pannenberg, Markus, 2011. "Trade union membership and dismissals," Labour Economics, Elsevier, vol. 18(6), pages 810-821.

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    More about this item

    Keywords

    job separations; job turnover; economics of minorities;
    All these keywords.

    JEL classification:

    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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