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Eligibility, Experience Rating, and Unemployment Insurance Take-up

Author

Listed:
  • Stéphane Auray

    (CREST; ENSAI; Université du Littoral Côte d’Opale)

  • David L. Fuller

    (Université du Wisconsin-Oshkosh)

Abstract

In this paper we investigate the causes and consequences of "unclaimed" unemployment insurance (UI) benefits. A search model is developed where the costs to collecting UI benefits include both a traditional "fixed" administrative cost and an endogenous cost arising from worker and firm interactions. Experience rated taxes give firms an incentive to challenge a worker's UI claim, and these challenges are costly for the worker. Exploiting data on improper denials of UI benefits across states in the U.S. system, a two-way fixed e ects analysis shows a statistically significant negative relationship between the improper denials and the UI take-up rate, providing empirical support for our model. We calibrate the model to elasticities implied by the two-way fixed e ects regression to quantify the relative size of these UI collection costs. The results imply that on average the costs associated with firm challenges of UI claims account for 42% of the total costs of collecting, with improper denials accounting for 6% of the total cost. The endogenous collection costs imply the unemployment rate responds much slower to changes in UI benefits relative to a model with fixed collection costs. Finally, removing all eligibility requirements and allowing workers to collect UI benefits without cost increases welfare by almost 5% with minimal impact on the unemployment rate.

Suggested Citation

  • Stéphane Auray & David L. Fuller, 2018. "Eligibility, Experience Rating, and Unemployment Insurance Take-up," Working Papers 2018-18, Center for Research in Economics and Statistics.
  • Handle: RePEc:crs:wpaper:2018-18
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. 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.
    3. Albertini, Julien & Fairise, Xavier & Terriau, Anthony, 2023. "Unemployment insurance, recalls, and experience rating," Journal of Macroeconomics, Elsevier, vol. 75(C).
    4. Mark Duggan & Audrey Guo & Andrew C. Johnston, 2023. "Experience Rating as an Automatic Stabilizer," Tax Policy and the Economy, University of Chicago Press, vol. 37(1), pages 109-133.
    5. Guo, Audrey & Johnston, Andrew C., 2020. "The Finance of Unemployment Compensation and its Consequence for the Labor Market," IZA Discussion Papers 13330, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    Unemployment Insurance; Take-up Rate; Experience Rating; 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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