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Determinants of Lifetime Unemployment - A Micro Data Analysis with Censored Quantile Regressions

Author

Listed:
  • Achim Schmillen

    () (Osteuropa-Institut, Regensburg (Institut for East European Studies))

  • Joachim Möller

    (Institute for Employment Research (IAB))

Abstract

Building on a large administrative micro data set for the time span 1975 - 2004 we look at lifetime unemployment for West German birth cohorts 1950 to 1954. Descriptive evidence shows a highly uneven distribution of unemployment in West Germany - more than 60% of the individuals in our sample were not unemployed for a single day over the better part of their professional career while almost half of the total amount of unemployment fell upon 5% of the individuals covered. We employ censored quantile regressions to explain the amount of individual lifetime unemployment. Explanatory variables are either characteristics of the individual (like education), or of the job (like the wage) or the employer (like the size of the firm) early in the professional career. A particular emphasis is placed on the importance of the occupation: we find that for men working in a disadvantageous occupation at age 25 ceteris paribus leads to a signi cantly higher amount of lifetime unemployment. Educational attainment or the wage earned at age 25 are also related to the amount of men's lifetime unemployment, amongst others. Some of these variables show very interesting patterns when looking at di erent quantiles. For women results are in general less clear-cut.

Suggested Citation

  • Achim Schmillen & Joachim Möller, 2009. "Determinants of Lifetime Unemployment - A Micro Data Analysis with Censored Quantile Regressions," Working Papers 275, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
  • Handle: RePEc:ost:wpaper:275
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    References listed on IDEAS

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    1. 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.
    2. Adriaan S. Kalwij, 2004. "Unemployment Experiences of Young Men: on the Road to Stable Employment?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(2), pages 205-237, May.
    3. Galiani, Sebastian & Hopenhayn, Hugo A., 2003. "Duration and risk of unemployment in Argentina," Journal of Development Economics, Elsevier, vol. 71(1), pages 199-212, June.
    4. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    5. Stefan Bender & Till von Wachter, 2006. "In the Right Place at the Wrong Time: The Role of Firms and Luck in Young Workers' Careers," American Economic Review, American Economic Association, pages 1679-1705.
    6. Lars Ljungqvist & Thomas J. Sargent, 1998. "The European Unemployment Dilemma," Journal of Political Economy, University of Chicago Press, vol. 106(3), pages 514-550, June.
    7. Yannis Bilias & Roger Koenker, 2001. "Quantile regression for duration data: A reappraisal of the Pennsylvania Reemployment Bonus Experiments," Empirical Economics, Springer, vol. 26(1), pages 199-220.
    8. Thomas Kruppe & Eva Müller & Laura Wichert & Ralf A. Wilke, 2008. "On the Definition of Unemployment and its Implementation in Regis-ter Data - The Case of Germany," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 128(3), pages 461-488.
    9. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    10. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    11. Gustavsen, Geir Waehler & Jolliffe, Dean & Rickertsen, Kyrre, 2008. "Censored Quantile Regression and Purchases of Ice Cream," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6534, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Elke Lüdemann & Ralf Wilke & Xuan Zhang, 2006. "Censored quantile regressions and the length of unemployment periods in West Germany," Empirical Economics, Springer, vol. 31(4), pages 1003-1024, November.
    13. Bernd Fitzenberger & Aderonke Osikominu & Robert Völter, 2006. "Imputation Rules to Improve the Education Variable in the IAB Employment Subsample," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 126(3), pages 405-436.
    14. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, December.
    15. Machado, Jose A F & Santos Silva, Joao M C, 2008. "Quantiles for Fractions and Other Mixed Data," Economics Discussion Papers 3550, University of Essex, Department of Economics.
    16. Jean-Paul Chavas & Matthew T. Holt, 1991. "On Nonlinear Dynamics: The Case of the Pork Cycle," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 819-828.
    17. Ludsteck, Johannes & Haupt, Harald, 2007. "An Empirical Test of the Reder Hypothesis," Discussion Papers in Economics 1397, University of Munich, Department of Economics.
    18. Arulampalam, Wiji & Booth, Alison L & Taylor, Mark P, 2000. "Unemployment Persistence," Oxford Economic Papers, Oxford University Press, vol. 52(1), pages 24-50, January.
    19. Hong H. & Chernozhukov V., 2002. "Three-Step Censored Quantile Regression and Extramarital Affairs," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 872-882, September.
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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. Michael Stops, 2011. "Job Matching on non-separated Occupational Labour Markets," ERSA conference papers ersa11p372, European Regional Science Association.
    3. 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].
    4. Michael Stops, 2014. "Job matching across occupational labour markets," Oxford Economic Papers, Oxford University Press, vol. 66(4), pages 940-958.
    5. 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.
    6. Münstermann, Leonard & Schneck, Stefan & Wolter, Hans-Jürgen, 2012. "Die Bedeutung des Kurzarbeitergeldes im Mittelstand," IfM-Materialien 215, Institut für Mittelstandsforschung (IfM) Bonn.

    More about this item

    Keywords

    Lifetime unemployment; Censored-Quantile Regressions; Occupations specific human capital;

    JEL classification:

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

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