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Determinants of lifetime unemployment : a micro data analysis with censored quantile regressions

Author

Listed:
  • Schmillen, Achim

    (Institute for Employment Research (IAB), Nuremberg, Germany ; IZA ; Universität Regensburg)

  • Möller, Joachim

    (Institute for Employment Research (IAB), Nuremberg, Germany ; Universität Regensburg)

Abstract

"The empirical literature on unemployment almost exclusively focuses on the duration of distinct unemployment spells. In contrast we use a large German administrative micro data set for the time span 1975-2004 to investigate individual lifetime unemployment (defined as the total length of all unemployment spells over a 25-year period). This new perspective enables us to answer questions regarding the long-term distribution and determinants of unemployment for West German birth cohorts 1950-1954. We find that lifetime unemployment is highly unevenly distributed and employ censored quantile regressions to show that, for men, pursuing a disadvantageous occupation early in the professional career leads to a significantly higher amount of lifetime unemployment." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Schmillen, Achim & Möller, Joachim, 2010. "Determinants of lifetime unemployment : a micro data analysis with censored quantile regressions," IAB-Discussion Paper 201003, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabdpa:201003
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    Cited by:

    1. Pradhan, Jaya Prakash, 2011. "Regional heterogeneity and firms’ innovation: the role of regional factors in industrial R&D in India," MPRA Paper 28096, University Library of Munich, Germany.
    2. Ali Fakih & Nathir Haimoun & Mohamad Kassem, 2020. "Youth Unemployment, Gender and Institutions During Transition: Evidence from the Arab Spring," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(1), pages 311-336, July.
    3. Michael Stops, 2011. "Job Matching on non-separated Occupational Labour Markets," ERSA conference papers ersa11p372, European Regional Science Association.
    4. Tisch, Anita & Tophoven, Silke, 2011. "Erwerbseinstieg und bisheriges Erwerbsleben der deutschen Babyboomerkohorten 1959 und 1965 : Vorarbeiten zu einer Kohortenstudie," IAB-Forschungsbericht 201108, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Michael Stops, 2014. "Job matching across occupational labour markets," Oxford Economic Papers, Oxford University Press, vol. 66(4), pages 940-958.
    6. Pradhan, Jaya Prakash, 2010. "R&D strategy of small and medium enterprises in India: Trends and determinants," MPRA Paper 20951, University Library of Munich, Germany.
    7. Farrukh Bashir & Tusawar Iftikhar Ahmad & Tehmina Hidayat, 2013. "Causes of Unemployment Among Highly Educated Women in Pakistan: A Case Study Of Bahawalnagar District," Pakistan Journal of Humanities and Social Sciences, International Research Alliance for Sustainable Development (iRASD), vol. 1(1), pages 1-10, June.
    8. Marcelo Cajias & Philipp Freudenreich & Anna Heller & Wolfgang Schaefers, 2018. "Censored Quantile Regressions and the Determinants of Real Estate Liquidity," ERES eres2018_203, European Real Estate Society (ERES).
    9. Münstermann, Leonard & Schneck, Stefan & Wolter, Hans-Jürgen, 2012. "Die Bedeutung des Kurzarbeitergeldes im Mittelstand," IfM-Materialien 215, Institut für Mittelstandsforschung (IfM) Bonn.

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    Keywords

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    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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