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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

    (UC Berkeley, NBER, and IZA)

  • Zhuan Pei

    (Brandeis University)

  • Andrew Johnston

    (University of Pennsylvania)

  • Pauline Leung

    (Princeton University)

  • Alexandre Mas

    (Princeton University, NBER, and IZA)

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.Length: 29 pages

Suggested Citation

  • David Card & Zhuan Pei & Andrew Johnston & Pauline Leung & Alexandre Mas, 2015. "The Effect of Unemployment Benefits on the Duration of Unemployment Insurance Receipt: New Evidence from a Regression Kink Design in Missouri, 2003-2013," Working Papers 82, Brandeis University, Department of Economics and International Businesss School.
  • Handle: RePEc:brd:wpaper:82
    as

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    File URL: http://www.brandeis.edu/economics/RePEc/brd/doc/Brandeis_WP82.pdf
    File Function: First version, 2015
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. repec:taf:jnlasa:v:113:y:2018:i:522:p:494-504 is not listed on IDEAS
    7. J. J. McCall, 1970. "Economics of Information and Job Search," The Quarterly Journal of Economics, Oxford University Press, vol. 84(1), pages 113-126.
    8. 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.
    9. 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.
    10. 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.
    11. Ganong, Peter & Jäger, Simon, 2014. "A Permutation Test and Estimation Alternatives for the Regression Kink Design," IZA Discussion Papers 8282, Institute for the Study of Labor (IZA).
    12. 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..
    13. 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.
    14. repec:hrv:faseco:34222894 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    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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