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Identification of the timing-of-events model with multiple competing exit risks from single-spell data

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  • Drepper, Bettina
  • Effraimidis, Georgios

Abstract

The identification result of the timing-of-events model (Abbring and Van den Berg, 2003b) is extended to a model with several competing exit risk equations. This extension allows e.g. to simultaneously identify the different effects a benefit sanction has on the rate of finding work and leaving the labor force.

Suggested Citation

  • Drepper, Bettina & Effraimidis, Georgios, 2016. "Identification of the timing-of-events model with multiple competing exit risks from single-spell data," Economics Letters, Elsevier, vol. 147(C), pages 124-126.
    • Handle: RePEc:eee:ecolet:v:147:y:2016:i:c:p:124-126
    DOI: 10.1016/j.econlet.2016.08.028
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    References listed on IDEAS

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    1. Gerard J. van den Berg & Bas van der Klaauw & Jan C. van Ours, 2004. "Punitive Sanctions and the Transition Rate from Welfare to Work," Journal of Labor Economics, University of Chicago Press, vol. 22(1), pages 211-241, January.
    2. Patrick Arni & Rafael Lalive & Jan C. Van Ours, 2013. "How Effective Are Unemployment Benefit Sanctions? Looking Beyond Unemployment Exit," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(7), pages 1153-1178, November.
    3. Jaap H. Abbring & Gerard J. Van Den Berg, 2003. "The identifiability of the mixed proportional hazards competing risks model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(3), pages 701-710, August.
    4. Michael Rosholm & Michael Svarer, 2008. "The Threat Effect of Active Labour Market Programmes," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(2), pages 385-401, June.
    5. Jaap H. Abbring & Gerard J. van den Berg, 2003. "The Nonparametric Identification of Treatment Effects in Duration Models," Econometrica, Econometric Society, vol. 71(5), pages 1491-1517, September.
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    Citations

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    Cited by:

    1. Berg, Gerard J. van den & Uhlendorff, Arne & Wolff, Joachim, 2015. "Under heavy pressure : intense monitoring and accumulation of sanctions for young welfare recipients in Germany," IAB-Discussion Paper 201534, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Gerard J. van den Berg & Arne Uhlendorff & Joachim Wolff, 2022. "The Impact of Sanctions for Young Welfare Recipients on Transitions to Work and Wages, and on Dropping Out," Economica, London School of Economics and Political Science, vol. 89(353), pages 1-28, January.
    3. Hohenleitner, Ingrid & Hillmann, Katja, 2019. "Impact of welfare sanctions on employment and benefit receipt: Considering top-up benefits and indirect sanctions," HWWI Research Papers 189, Hamburg Institute of International Economics (HWWI).

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    More about this item

    Keywords

    Competing risks; Timing-of-events; Mixed proportional hazard; Program evaluation; Unobserved heterogeneity; Identification;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction 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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