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The Effect of Unemployment Benefits on the Duration of Unemployment Insurance Receipt: New Evidence from a Regression Kink Design in Missouri, 2003-2013

Author

Listed:
  • David Card
  • Andrew Johnston
  • Pauline Leung
  • Alexandre Mas
  • Zhuan Pei

Abstract

We provide new evidence on the effect of the unemployment insurance (UI) weekly benefit amount on unemployment insurance spells based on administrative data from the state of Missouri covering the period 2003-2013. Identification comes from a regression kink design that exploits the quasi-experimental variation around the kink in the UI benefit schedule. We find that UI durations are more responsive to benefit levels during the recession and its aftermath, with an elasticity between 0.65 and 0.9 as compared to about 0.35 pre-recession.

Suggested Citation

  • David Card & Andrew Johnston & Pauline Leung & Alexandre Mas & Zhuan Pei, 2015. "The Effect of Unemployment Benefits on the Duration of Unemployment Insurance Receipt: New Evidence from a Regression Kink Design in Missouri, 2003-2013," NBER Working Papers 20869, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:20869
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    References listed on IDEAS

    as
    1. David E. Card & David S. Lee & Zhuan Pei & Andrea Weber, 2012. "Nonlinear Policy Rules and the Identification and Estimation of Causal Effects in a Generalized Regression Kink Design," NRN working papers 2012-14, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
    2. David Card & Andrew Johnston & Pauline Leung & Alexandre Mas & Zhuan Pei, 2015. "The Effect of Unemployment Benefits on the Duration of Unemployment Insurance Receipt: New Evidence from a Regression Kink Design in Missouri, 2003-2013," American Economic Review, American Economic Association, vol. 105(5), pages 126-130, May.
    3. Kory Kroft & Matthew J. Notowidigdo, 2016. "Should Unemployment Insurance Vary with the Unemployment Rate? Theory and Evidence," Review of Economic Studies, Oxford University Press, vol. 83(3), pages 1092-1124.
    4. J. J. McCall, 1970. "Economics of Information and Job Search," The Quarterly Journal of Economics, Oxford University Press, vol. 84(1), pages 113-126.
    5. David Card & David S. Lee & Zhuan Pei, 2009. "Quasi-Experimental Identification and Estimation in the Regression Kink Design," Working Papers 1206, Princeton University, Department of Economics, Industrial Relations Section..
    6. Ganong, Peter & Jäger, Simon, 2014. "A Permutation Test and Estimation Alternatives for the Regression Kink Design," IZA Discussion Papers 8282, Institute of Labor Economics (IZA).
    7. David Card & David S. Lee & Zhuan Pei, 2009. "Quasi-Experimental Identification and Estimation in the Regression Kink Design," Working Papers 1206, Princeton University, Department of Economics, Industrial Relations Section..
    8. Krueger, Alan B. & Meyer, Bruce D., 2002. "Labor supply effects of social insurance," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 4, chapter 33, pages 2327-2392, Elsevier.
    9. 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, Oxford University Press, vol. 127(2), pages 701-752.
    10. Peter Ganong & Simon Jäger, 2018. "A Permutation Test for the Regression Kink Design," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 494-504, April.
    11. David Card & David S. Lee & Zhuan Pei & Andrea Weber, 2015. "Inference on Causal Effects in a Generalized Regression Kink Design," Econometrica, Econometric Society, vol. 83, pages 2453-2483, November.
    12. Bruce D. Meyer & Wallace K. C. Mok, 2007. "Quasi-Experimental Evidence on the Effects of Unemployment Insurance from New York State," NBER Working Papers 12865, National Bureau of Economic Research, Inc.
    13. A. J. Auerbach & M. Feldstein (ed.), 2002. "Handbook of Public Economics," Handbook of Public Economics, Elsevier, edition 1, volume 4, number 4.
    14. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," Review of Economic Studies, Oxford University Press, vol. 79(3), pages 933-959.
    15. repec:hrv:faseco:34222894 is not listed on IDEAS
    16. Johannes F. Schmieder† & Till von Wachter & Stefan Bender, 2011. "The Effects Of Extended Unemployment Insurance Over The Business Cycle: Evidence From Regression Discontinuity Estimates Over Twenty Years," Boston University - Department of Economics - Working Papers Series WP2011-063, Boston University - Department of Economics.
    17. A. J. Auerbach & M. Feldstein (ed.), 2002. "Handbook of Public Economics," Handbook of Public Economics, Elsevier, edition 1, volume 3, number 3.
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    More about this item

    JEL classification:

    • 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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