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Unemployment Insurance Take-up Rates in an Equilibrium Search Model

Author

Listed:
  • Stéphane Auray

    (CREST; ENSAI ; ULCO)

  • David L. Fuller

    (University of Wisconsin-Oshkosh)

  • Damba Lkhagvasuren

    (Concordia University; CIREQ)

Abstract

From 1989-2012; on average 23% of those eligible for unemployment insurance (UI) benefits in the US did not collect them. In a search model with matching frictions; private information associated with the UI non-collectors implies the market equilibrium is not Pareto optimal. The cause of the Pareto inefeciency is characterized along with the key features of collector vs. non-collector outcomes. Non-collectors transition to employment at a faster rate and a lower wage relative to the Pareto optimal arrival rates and wages. Quantitatively; this implies 1:71% welfare loss in consumption equivalent terms for the average worker; with a 3:85% loss conditional on non-collection. With an endogenous take-up rate; the unemployment rate and average duration of unemployment respond significantly slower to changes in the UI benefit level; relative to the standard model with a 100% take-up rate.

Suggested Citation

  • Stéphane Auray & David L. Fuller & Damba Lkhagvasuren, 2018. "Unemployment Insurance Take-up Rates in an Equilibrium Search Model," Working Papers 2018-14, Center for Research in Economics and Statistics.
  • Handle: RePEc:crs:wpaper:2018-14
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Two papers on unemployment insurance and misallocation
      by Christian Zimmermann in NEP-DGE blog on 2018-03-05 09:53:24
    2. Unemployment Insurance Take-up Rates in an Equilibrium Search Model
      by Christian Zimmermann in NEP-DGE blog on 2018-11-16 21:29:32

    Citations

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    Cited by:

    1. Kyle F Herkenhoff, 2019. "The Impact of Consumer Credit Access on Unemployment," Review of Economic Studies, Oxford University Press, vol. 86(6), pages 2605-2642.
    2. Serdar Birinci & Kurt Gerrard See, 2018. "How Should Unemployment Insurance vary over the Business Cycle?," 2018 Meeting Papers 69, Society for Economic Dynamics.
    3. Wang, Cheng & Williamson, Stephen D., 2002. "Moral hazard, optimal unemployment insurance, and experience rating," Journal of Monetary Economics, Elsevier, vol. 49(7), pages 1337-1371, October.
    4. Ruediger Bachmann & Jinhui Bai & Minjoon Lee & Fudong Zhang, 2020. "The Welfare and Distributional Effects of Fiscal Volatility: a Quantitative Evaluation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 38, pages 127-153, October.
    5. Veronica Minaya & Brendan Moore & Judith Scott-Clayton, 2020. "The Effect of Job Displacement on College Enrollment: Evidence from Ohio," NBER Working Papers 27694, National Bureau of Economic Research, Inc.
    6. Stéphane Auray & David L. Fuller, 2020. "Eligibility, experience rating, and unemployment insurance take‐up," Quantitative Economics, Econometric Society, vol. 11(3), pages 1059-1107, July.
    7. Fuller, David L., 2014. "Adverse selection and moral hazard: Quantitative implications for unemployment insurance," Journal of Monetary Economics, Elsevier, vol. 62(C), pages 108-122.
    8. Xie, Zoe, 2019. "Delayed collection of unemployment insurance in recessions," European Economic Review, Elsevier, vol. 118(C), pages 274-295.
    9. Ruediger Bachmann & Jinhui Bai & Minjoon Lee & Fudong Zhang, 2020. "The Welfare and Distributional Effects of Fiscal Volatility: a Quantitative Evaluation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 38, pages 127-153, October.
    10. Julien Albertini & Xavier Fairise & Anthony Terriau, 2020. "Unemployment insurance, Recalls and Experience Rating," Working Papers halshs-02559317, HAL.
    11. Robert E. Hall & Marianna Kudlyak, 2021. "Why Has the US Economy Recovered So Consistently from Every Recession in the Past 70 Years?," NBER Chapters, in: NBER Macroeconomics Annual 2021, volume 36, National Bureau of Economic Research, Inc.
    12. B. Boutchenik & R. Lardeux, 2020. "The Take-Up of Unemployment Benefit Extensions," Documents de Travail de l'Insee - INSEE Working Papers g2020-02, Institut National de la Statistique et des Etudes Economiques.
    13. Minjoon Lee & Jinhui Bai & Fudong Zhang & Ruediger Bachmann, 2014. "The Welfare Costs of Fiscal Uncertainty: a Quantitative Evaluation," 2014 Meeting Papers 744, Society for Economic Dynamics.
    14. Engelhardt, Bryan & Rupert, Peter, 2017. "Competitive versus random search with bargaining: An empirical comparison," Labour Economics, Elsevier, vol. 48(C), pages 183-197.
    15. Brendan Moore & Judith Scott-Clayton, 2019. "The Firm's Role in Displaced Workers' Earnings Losses," NBER Working Papers 26525, National Bureau of Economic Research, Inc.

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    More about this item

    Keywords

    Unemployment insurance; take-up; calibration; matching frictions; search.;
    All these keywords.

    JEL classification:

    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • J32 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Nonwage Labor Costs and Benefits; Retirement Plans; Private Pensions
    • 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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