IDEAS home Printed from https://ideas.repec.org/a/aea/aecrev/v105y2015i5p126-30.html
   My bibliography  Save this article

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," American Economic Review, American Economic Association, vol. 105(5), pages 126-130, May.
  • Handle: RePEc:aea:aecrev:v:105:y:2015:i:5:p:126-30
    Note: DOI: 10.1257/aer.p20151061
    as

    Download full text from publisher

    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/aer.p20151061
    Download Restriction: no

    File URL: https://www.aeaweb.org/aer/ds/10505/P2015_1061_ds.zip
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    Other versions of this item:

    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. Zhuan Pei & David Card & David S. Lee & Andrea Weber, 2012. "Nonlinear Policy Rules and the Identification and Estimation of Causal Effects in a Generalized Regression Kink Design," Working Papers 60, Brandeis University, Department of Economics and International Businesss School.
    3. 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.
    4. 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.
    5. 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.
    6. Bruce D. Meyer & Wallace K. C. Mok, 2007. "Quasi-Experimental Evidence on the Effects of Unemployment Insurance from New York State," Working Papers 0708, Harris School of Public Policy Studies, University of Chicago.
    7. 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).
    8. 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..
    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. 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.
    11. 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.
    12. J. J. McCall, 1970. "Economics of Information and Job Search," The Quarterly Journal of Economics, Oxford University Press, vol. 84(1), pages 113-126.
    13. repec:hrv:faseco:34222894 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bernardus Van Doornik & David Schoenherr & Janis Skrastins, 2018. "Unemployment Insurance, Strategic Unemployment and Firm-Worker Collusion," Working Papers Series 483, Central Bank of Brazil, Research Department.
    2. Sarah H. Bana & Kelly Bedard & Maya Rossin‐Slater, 2020. "The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 888-929, September.
    3. Camille Landais, 2015. "Assessing the Welfare Effects of Unemployment Benefits Using the Regression Kink Design," American Economic Journal: Economic Policy, American Economic Association, vol. 7(4), pages 243-278, November.
    4. Liepmann, Hannah. & Pignatti, Clemente., 2021. "Welfare effects of unemployment benefits when informality is high," ILO Working Papers 995141693302676, International Labour Organization.
    5. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    6. Pauline Leung & Christopher J. O'Leary, 2015. "Should UI Eligibility Be Expanded to Low-Earning Workers? Evidence on Employment, Transfer Receipt, and Income from Administrative Data," Upjohn Working Papers and Journal Articles 15-236, W.E. Upjohn Institute for Employment Research.
    7. David S. Lee & Pauline Leung & Christopher J. O’Leary & Zhuan Pei & Simon Quach, 2021. "Are Sufficient Statistics Necessary? Nonparametric Measurement of Deadweight Loss from Unemployment Insurance," Journal of Labor Economics, University of Chicago Press, vol. 39(S2), pages 455-506.
    8. Bertanha, Marinho & Moreira, Marcelo J., 2020. "Impossible inference in econometrics: Theory and applications," Journal of Econometrics, Elsevier, vol. 218(2), pages 247-270.
    9. Schmieder, Johannes F & Trenkle, Simon, 2020. "Disincentive effects of unemployment benefits and the role of caseworkers," Journal of Public Economics, Elsevier, vol. 182(C).
    10. Arash Nekoei & Andrea Weber, 2017. "Does Extending Unemployment Benefits Improve Job Quality?," American Economic Review, American Economic Association, vol. 107(2), pages 527-561, February.
    11. Mesén Vargas, Juliana & Van der Linden, Bruno, 2017. "Is There Always a Trade-off between Insurance and Incentives? The Case of Unemployment with Subsistence Constraints," IZA Discussion Papers 11034, Institute of Labor Economics (IZA).
    12. Bana, Sarah & Bedard, Kelly & Rossin-Slater, Maya, 2018. "The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data," IZA Discussion Papers 11381, Institute of Labor Economics (IZA).
    13. Ye, Han, 2018. "The Effect of Pension Subsidies on Retirement Timing of Older Women: Evidence from a Regression Kink Design," IZA Discussion Papers 11831, Institute of Labor Economics (IZA).
    14. Xu, Ke-Li, 2018. "A semi-nonparametric estimator of regression discontinuity design with discrete duration outcomes," Journal of Econometrics, Elsevier, vol. 206(1), pages 258-278.
    15. Guo, Audrey, 2020. "The Effects of Unemployment Insurance Taxation on Multi-Establishment Firms," MPRA Paper 97919, University Library of Munich, Germany.
    16. Bartalotti, Otávio C. & Calhoun, Gray & He, Yang, 2016. "Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs with the Uniform Kernel," Staff General Research Papers Archive 3394, Iowa State University, Department of Economics.
    17. Yingying DONG & Ying-Ying LEE & Michael GOU, 2019. "Regression Discontinuity Designs with a Continuous Treatment," Discussion papers 19058, Research Institute of Economy, Trade and Industry (RIETI).
    18. Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.
    19. Kohlbrecher, Britta & Merkl, Christian & Nordmeier, Daniela, 2016. "Revisiting the matching function," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 350-374.

    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
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aea:aecrev:v:105:y:2015:i:5:p:126-30. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.