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Job Creation Schemes in Turbulent Times

Author

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  • Pohlan, Laura
  • Bergemann, Annette
  • Uhlendorff, Arne

Abstract

This paper analyzes the impact of job creation schemes (JCS) on job search outcomes in the context of the turbulent East German labor market in the aftermath of the German reunification. High job destruction characterized the economic environment. JCS were heavily used in order to cushion this development. Using data from 1990-1999 and building upon the timing-of-events approach, we estimate multivariate discrete time duration models taking selection based on both observed and unobserved heterogeneity into account. Our results indicate that participation in JCS increases the unemployment duration mainly due to profound locking-in effects. However, twelve months after the program start the significantly negative impact on the job finding probability vanishes. We find evidence for effect heterogeneity. Our results suggest that female and highly skilled participants leave unemployment quicker than other groups, which results in highly skilled women benefiting from participation. However, we find no significant impact on post-unemployment employment stability. Our results are robust to allowing for random treatment effects. Also taking into account endogenous participation in training programs or multiple treatment effects do not change the results.
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Suggested Citation

  • Pohlan, Laura & Bergemann, Annette & Uhlendorff, Arne, 2016. "Job Creation Schemes in Turbulent Times," VfS Annual Conference 2016 (Augsburg): Demographic Change 145495, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc16:145495
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    Cited by:

    1. Ivanov, Boris & Pfeiffer, Friedhelm & Pohlan, Laura, 2020. "Do job creation schemes improve the social integration and well-being of the long-term unemployed?," Labour Economics, Elsevier, vol. 64(C).
    2. Theodoropoulos, Nikolaos & Voucharas, Georgios, 2023. "Firm Closures and Labor Market Policies in Europe: Evidence from Retrospective Longitudinal Data," GLO Discussion Paper Series 1288, Global Labor Organization (GLO).
    3. Stefano Lombardi & Gerard J. van den Berg & Johan Vikström, 2024. "Empirical Monte Carlo evidence on estimation of timing-of-events models," Econometric Reviews, Taylor & Francis Journals, vol. 44(1), pages 90-118, September.
    4. Bonev, Petyo, 2020. "Nonparametric identification in nonseparable duration models with unobserved heterogeneity," Economics Working Paper Series 2005, University of St. Gallen, School of Economics and Political Science.
    5. Garcia-Louzao, Jose, 2022. "Workers’ job mobility in response to severance pay generosity," Labour Economics, Elsevier, vol. 75(C).

    More about this item

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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