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The spike at benefit exhaustion in the Finnish labor market

Author

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  • Kyyrä, Tomi
  • Pesola, Hanna
  • Verho, Jouko

Abstract

Many studies have found that the exit rate from unemployment increases in the vicinity of the exhaustion day of unemployment insurance benefits. The extent to which this spike is driven by job search behavior is important for assessing the distortionary effect of unemployment insurance. Card, Chetty and Weber (American Economic Review 2007; 97: 113–118) find a large spike in the exit rate from registered unemployment but only a very small spike in the job finding rate in Austria. We replicate their analysis using matched register data for Finland. We find a large spike also in the job finding rate at the time of benefit exhaustion, even though it is clearly smaller than the spike in the exit rate from unemployment benefits. In addition, we demonstrate difficulties in measuring the time to benefit exhaustion when the benefit entitlement can elapse at a reduced rate during activation measures or part-time working. Unless the remaining benefit entitlement is directly observed in the data, the resulting measurement error can lead to downward biased estimates of the spikes at benefit exhaustion.

Suggested Citation

  • Kyyrä, Tomi & Pesola, Hanna & Verho, Jouko, 2017. "The spike at benefit exhaustion in the Finnish labor market," Working Papers 86, VATT Institute for Economic Research.
  • Handle: RePEc:fer:wpaper:86
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    File URL: https://www.doria.fi/handle/10024/148923
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    References listed on IDEAS

    as
    1. Dale T. Mortensen, 1977. "Unemployment Insurance and Job Search Decisions," ILR Review, Cornell University, ILR School, vol. 30(4), pages 505-517, July.
    2. Jan Boone & Jan Ours, 2012. "Why is There a Spike in the Job Finding Rate at Benefit Exhaustion?," De Economist, Springer, vol. 160(4), pages 413-438, December.
    3. Gaure, Simen & Røed, Knut & Westlie, Lars, 2012. "Job search incentives and job match quality," Labour Economics, Elsevier, vol. 19(3), pages 438-450.
    4. Mueller, Andreas, 2010. "On-the-job search and wage dispersion: New evidence from time use data," Economics Letters, Elsevier, vol. 109(2), pages 124-127, November.
    5. Lars Pico Geerdsen & Stéphanie Vincent Lyk-Jensen & Cecilie Dohlmann Weatherall, 2018. "Accelerating the transition to employment at benefit exhaustion: still possible after four years of unemployment?," Empirical Economics, Springer, vol. 54(3), pages 1107-1135, May.
    6. David Card & Raj Chetty & Andrea Weber, 2007. "The Spike at Benefit Exhaustion: Leaving the Unemployment System or Starting a New Job?," American Economic Review, American Economic Association, vol. 97(2), pages 113-118, May.
    7. Stefano DellaVigna & Attila Lindner & Balázs Reizer & Johannes F. Schmieder, 2017. "Reference-Dependent Job Search: Evidence from Hungary," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1969-2018.
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    More about this item

    Keywords

    unemployment benefit; unemployment duration; unemployment insurance; Social security; taxation and inequality; Labour markets and education; C41; J64; J65;
    All these keywords.

    JEL classification:

    • 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
    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings

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