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The idiosyncratic impact of an aggregate shock: the distributional consequences of COVID-19

Author

Listed:
  • Michaela Benzeval

    (Institute for Fiscal Studies)

  • Jon Burton

    (Institute for Fiscal Studies)

  • Thomas Crossley

    (Institute for Fiscal Studies and University of Essex and European University Institute)

  • Paul Fisher

    (Institute for Fiscal Studies)

  • Annette Jäckle

    (Institute for Fiscal Studies)

  • Hamish Low

    (Institute for Fiscal Studies and University of Oxford & Nuffield College)

  • Brendan Read

    (Institute for Fiscal Studies)

Abstract

Using new data from the Understanding Society: COVID 19 survey collected in April 2020, we show how the aggregate shock caused by the pandemic a?ects individuals across the distribution. The survey collects data from existing members of the Under-standing Society panel survey who have been followed for up to 10 years. Understand-ing society is based on probability samples and the Understanding Society Covid19 Survey is carefully constructed to support valid population inferences. Further the panel allows comparisons with a pre-pandemic baseline. We document how the shock of the pandemic translates into di?erent economic shocks for di?erent types of worker: those with less education and precarious employment face the biggest economic shocks. Some of those a?ected are able to mitigate the impact of the economic shocks: universal credit protects those in the bottom quintile, for example. We estimate the prevalence of the di?erent measures individuals and households take to mitigate the shocks. We show that the opportunities for mitigation are most limited for those most in need.

Suggested Citation

  • Michaela Benzeval & Jon Burton & Thomas Crossley & Paul Fisher & Annette Jäckle & Hamish Low & Brendan Read, 2020. "The idiosyncratic impact of an aggregate shock: the distributional consequences of COVID-19," IFS Working Papers W20/15, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:ifsewp:20/15
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    References listed on IDEAS

    as
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    More about this item

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

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