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The Lockdown Impact on Unemployment for Heterogeneous Workers

Author

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  • Kandoussi, Malak

    (University of Evry)

  • Langot, François

    (University of Le Mans)

Abstract

We develop a multi-sectoral matching model to predict the impact of the lockdown on the US unemployment, considering the heterogeneity of workers to account for the contrasted impacts across various types of jobs. We show that separations and business closures that hit the workers with the first level of education explains the abruptness of the unemployment rise. The existence of significant congestion externalities in the hiring process suggests that a comeback to the pre-crisis unemployment level could be reached in 2024 in a scenario with a double wave. In the same scenario, a calibration on French data leads to more pessimistic forecasts with a comeback to the pre-crisis unemployment level expected until 2027.

Suggested Citation

  • Kandoussi, Malak & Langot, François, 2020. "The Lockdown Impact on Unemployment for Heterogeneous Workers," IZA Discussion Papers 13439, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp13439
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    References listed on IDEAS

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    1. Kandoussi, Malak & Langot, François, 2022. "Uncertainty shocks and unemployment dynamics," Economics Letters, Elsevier, vol. 219(C).
    2. Krause, Michael U. & Lubik, Thomas A., 2007. "The (ir)relevance of real wage rigidity in the New Keynesian model with search frictions," Journal of Monetary Economics, Elsevier, vol. 54(3), pages 706-727, April.
    3. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the impact of the coronavirus shock: Evidence from real time surveys," Journal of Public Economics, Elsevier, vol. 189(C).
    4. Gorry, Aspen & Munro, David & vom Lehn, Christian, 2020. "Experience, skill composition, and the persistence of unemployment fluctuations," Labour Economics, Elsevier, vol. 63(C).
    5. Scott R. Baker & Nicholas Bloom & Steven J. Davis & Stephen J. Terry, 2020. "COVID-Induced Economic Uncertainty," NBER Working Papers 26983, National Bureau of Economic Research, Inc.
    6. Michael J. Pries, 2004. "Persistence of Employment Fluctuations: A Model of Recurring Job Loss," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(1), pages 193-215.
    7. Victoria Gregory & Guido Menzio & David Wiczer, 2020. "Pandemic Recession: L- or V-Shaped?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 40(01), pages 1-31, May.
    8. Robert E. Hall & Marianna Kudlyak, 2022. "Why Has the US Economy Recovered So Consistently from Every Recession in the Past 70 Years?," NBER Macroeconomics Annual, University of Chicago Press, vol. 36(1), pages 1-55.
    Full references (including those not matched with items on IDEAS)

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    RePEc Biblio mentions

    As found on the RePEc Biblio, the curated bibliography for Economics:
    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Long-term consequences

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    Cited by:

    1. Jitender Singh, 2023. "Unemployment Fluctuations in Urban Labour Market in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 66(1), pages 81-111, March.

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    More about this item

    Keywords

    COVID-19; unemployment dynamics; search and matching; worker heterogeneity;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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