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Age, industry, and unemployment risk during a pandemic lockdown

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  • Graham, James
  • Ozbilgin, Murat

Abstract

This paper models the macroeconomic and distributional consequences of lockdown shocks during the COVID-19 pandemic. The model features heterogeneous life-cycle households, labor market search and matching frictions, and multiple industries of employment. We calibrate the model to data from New Zealand, where the health effects of the pandemic were especially mild. In this context, we model lockdowns as supply shocks, ignoring the demand shocks associated with health concerns about the virus. We then study the impact of a large-scale wage subsidy scheme implemented during the lockdown. The policy prevents job losses equivalent to 6.5% of steady state employment. Moreover, we find significant heterogeneity in its impact. The subsidy saves 17.2% of jobs for workers under the age of 30, but just 2.6% of jobs for those over 50. Nevertheless, our welfare analysis of fiscal alternatives shows that the young prefer increases in unemployment transfers as this enables greater consumption smoothing across employment states.

Suggested Citation

  • Graham, James & Ozbilgin, Murat, 2021. "Age, industry, and unemployment risk during a pandemic lockdown," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
  • Handle: RePEc:eee:dyncon:v:133:y:2021:i:c:s0165188921001688
    DOI: 10.1016/j.jedc.2021.104233
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    Cited by:

    1. Rihab Baltaji & Ali Fakih & Nagham Sayour, 2023. "How did COVID‐19 lockdowns affect firms and workers? Evidence from Jordan and Morocco," Development Policy Review, Overseas Development Institute, vol. 41(6), November.
    2. Yanzhe Zhang & Bowen Zou & Huai Zhang & Jian Zhang, 2023. "Are Chinese Citizens Satisfied with Lockdown Performance during the COVID-19 Outbreak Period? A Survey from Wuhan, Shulan, and Nanjing," Public Organization Review, Springer, vol. 23(2), pages 551-573, June.
    3. Jackson, Paul & Ortego-Marti, Victor, 2024. "Skill loss during unemployment and the scarring effects of the COVID-19 pandemic," Labour Economics, Elsevier, vol. 88(C).
    4. Cerqueti, Roy & Tramontana, Fabio & Ventura, Marco, 2022. "The complex interplay between COVID-19 and economic activity," Mathematical Social Sciences, Elsevier, vol. 119(C), pages 97-107.
    5. Gamber, William & Graham, James & Yadav, Anirudh, 2023. "Stuck at home: Housing demand during the COVID-19 pandemic," Journal of Housing Economics, Elsevier, vol. 59(PB).
    6. Dean Hyslop & Dave Maré & Shannon Minehan, 2023. "COVID-19 Wage Subsidy: Outcome evaluation," Working Papers 23_03, Motu Economic and Public Policy Research.
    7. Timothy Watson & Paul Buckingham, 2023. "Australian Government COVID‐19 Business Supports," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 56(1), pages 124-140, March.

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    More about this item

    Keywords

    COVID-19; Pandemic; Lockdowns; Unemployment risk; Wage subsidy; Life-cycle; Consumption;
    All these keywords.

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • 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
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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