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Estimating the Latent Effect of Unemployment Benefits on Unemployment Duration

Author

Listed:
  • Lo, Simon M.S.

    (Lingnan University)

  • Stephan, Gesine

    (Institute for Employment Research (IAB), Nuremberg)

  • Wilke, Ralf

    (University of York)

Abstract

We estimate the effect of a shortening of unemployment benefit entitlements on unemployment duration. Previous studies on the same or related problems have not taken into account that the competing risks duration model is not identified and we shed first light on the question whether the non identification problem may preclude informative results. It turns out that the identification bounds for the parameters of interest are very wide in the absence of strong assumptions. We suggest an assumption on the dependence structure between risks which is milder than what conventional duration models assume. Under this assumption, the identification bounds are tighter and become informative for the direction of the treatment effect. We find evidence that the unemployed with higher pre-unemployment earnings are more likely to enter full-time employment and, in particular, subsidized self-employment.

Suggested Citation

  • Lo, Simon M.S. & Stephan, Gesine & Wilke, Ralf, 2012. "Estimating the Latent Effect of Unemployment Benefits on Unemployment Duration," IZA Discussion Papers 6650, IZA Network @ LISER.
  • Handle: RePEc:iza:izadps:dp6650
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    References listed on IDEAS

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    5. Simon M. S. Lo & Ralf A. Wilke, 2010. "A copula model for dependent competing risks," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(2), pages 359-376, March.
    6. Dlugosz, Stephan & Stephan, Gesine & Wilke, Ralf A., 2009. "Fixing the leak: unemployment incidence before and after the 2006 reform of unemployment benefits in Germany," ZEW Discussion Papers 09-079, ZEW - Leibniz Centre for European Economic Research.
    7. Jan C. van Ours & Milan Vodopivec, 2006. "How Shortening the Potential Duration of Unemployment Benefits Affects the Duration of Unemployment: Evidence from a Natural Experiment," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 351-378, April.
    8. Rivest, Louis-Paul & Wells, Martin T., 2001. "A Martingale Approach to the Copula-Graphic Estimator for the Survival Function under Dependent Censoring," Journal of Multivariate Analysis, Elsevier, vol. 79(1), pages 138-155, October.
    9. Gerard J. van den Berg, 1990. "Nonstationarity in Job Search Theory," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(2), pages 255-277.
    10. Johannes F. Schmieder & Till von Wachter & Stefan Bender, 2012. "The Effects of Extended Unemployment Insurance Over the Business Cycle: Evidence from Regression Discontinuity Estimates Over 20 Years," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(2), pages 701-752.
    11. Wilke, Ralf A. & Lo, Simon M. S. & Arntz, Melanie, 2007. "Bounds Analysis of Competing Risks: A Nonparametric Evaluation of the Effect of Unemployment Benefits on Imigration in Germany," ZEW Discussion Papers 07-049, ZEW - Leibniz Centre for European Economic Research.
    12. Laura Wichert & Ralf A. Wilke, 2012. "Which factors safeguard employment?: an analysis with misclassified German register data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(1), pages 135-151, January.
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    Cited by:

    1. Lo Simon M.S. & Wilke Ralf A., 2014. "A Regression Model for the Copula-Graphic Estimator," Journal of Econometric Methods, De Gruyter, vol. 3(1), pages 21-46, January.
    2. Springer, Angelina, 2013. "Selbstständige Leistungsbezieher in der Arbeitslosenversicherung : empirische Befunde zum Versicherungspflichtverhältnis auf Antrag," IAB-Forschungsbericht 201315, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Lo, Ming Sum Simon & Stephan, Gesine & Wilke, Ralf A., 2013. "Stellschraube Arbeitslosengeld: Kürzere Bezugsdauer zeigt Wirkung," IAB-Forum, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 2013(2), pages 52-59.

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    Keywords

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    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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