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The heterogeneous and regressive consequences of COVID-19: Evidence from high quality panel data

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  • Crossley, Thomas F.
  • Fisher, Paul
  • Low, Hamish

Abstract

Using new data from the first two waves of the Understanding Society COVID-19 Study collected in April and in May 2020 in the UK, we study the labour market shocks that individuals experienced in the first wave of the pandemic, and the steps they and their households took to cope with those shocks. Understanding Society is based on probability samples and the Covid-19 Study is constructed carefully to support valid population inferences. The Covid-19 Study collected novel data on the mitigation strategies that individuals and households employ. Further, prior observation of respondents in the panel allows us to characterize regressivity with respect to pre-pandemic economic positions. Our key findings are that those with precarious employment, aged under 30 and from minority ethnic groups faced the biggest labour market shocks. Almost 50% of individuals have experienced declines in household earnings of at least 10%, but declines are most severe in the bottom pre-pandemic income quintiles. Methods of mitigation vary substantially across groups: borrowing and transfers from family and friends are most prevalent among those most in need.

Suggested Citation

  • Crossley, Thomas F. & Fisher, Paul & Low, Hamish, 2021. "The heterogeneous and regressive consequences of COVID-19: Evidence from high quality panel data," Journal of Public Economics, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:pubeco:v:193:y:2021:i:c:s0047272720301985
    DOI: 10.1016/j.jpubeco.2020.104334
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    1. John Micklewright & Sylke V. Schnepf, 2010. "How reliable are income data collected with a single question?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 409-429, April.
    2. Hamish Low & Michaela Benzeval & Jon Burton & Thomas F. Crossley & Paul Fisher & Annette Jäckle & Brendan Read, 2020. "The Idiosyncratic Impact of an Aggregate Shock The Distributional Consequences of COVID-19," Economics Series Working Papers 911, University of Oxford, Department of Economics.
    3. Couch, Kenneth A. & Fairlie, Robert W. & Xu, Huanan, 2020. "Early evidence of the impacts of COVID-19 on minority unemployment," Journal of Public Economics, Elsevier, vol. 192(C).
    4. Cheti Nicoletti & Franco Peracchi, 2005. "Survey response and survey characteristics: microlevel evidence from the European Community Household Panel," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(4), pages 763-781, November.
    5. Robert Moffitt & John Fitzgerald & Peter Gottschalk, 1999. "Sample Attrition in Panel Data: The Role of Selection on Observables," Annals of Economics and Statistics, GENES, issue 55-56, pages 129-152.
    6. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    7. 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).
    8. Adams-Prassl, A. & Boneva, T. & Golin, M & Rauh, C., 2020. "Inequality in the Impact of the Coronavirus Shock: New Survey Evidence for the UK," Cambridge Working Papers in Economics 2023, Faculty of Economics, University of Cambridge.
    9. Béland, Louis-Philippe & Brodeur, Abel & Wright, Taylor, 2020. "The Short-Term Economic Consequences of COVID-19: Exposure to Disease, Remote Work and Government Response," GLO Discussion Paper Series 524, Global Labor Organization (GLO).
    10. Lynn, Peter & Kaminska, Olena, 2010. "Weighting strategy for Understanding Society," Understanding Society Working Paper Series 2010-05, Understanding Society at the Institute for Social and Economic Research.
    11. Jose Maria Barrero & Nicholas Bloom & Steven J. Davis, 2020. "COVID-19 Is Also a Reallocation Shock," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(2 (Summer), pages 329-383.
    12. Laura Montenovo & Xuan Jiang & Felipe Lozano Rojas & Ian M. Schmutte & Kosali I. Simon & Bruce A. Weinberg & Coady Wing, 2020. "Determinants of Disparities in Covid-19 Job Losses," NBER Working Papers 27132, National Bureau of Economic Research, Inc.
    13. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition, and stratification," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 117-139, August.
    14. Michele Belot & Syngjoo Choi & Egon Tripodi & Eline van den Broek-Altenburg & Julian C. Jamison & Nicholas W. Papageorge, 2020. "Unequal Consequences of Covid 19 across Age and Income: Representative Evidence from Six Countries," Working Paper Series no135, Institute of Economic Research, Seoul National University.
    15. Blundell, Richard & Joyce, Robert & Norris Keiller, Agnes & Ziliak, James P., 2018. "Income inequality and the labour market in Britain and the US," Journal of Public Economics, Elsevier, vol. 162(C), pages 48-62.
    16. Guido Matias Cortes & Eliza Forsythe, 2023. "Heterogeneous Labor Market Impacts of the COVID-19 Pandemic," ILR Review, Cornell University, ILR School, vol. 76(1), pages 30-55, January.
    17. Fisher, Paul & Fumagalli, Laura & Buck, Nick & Avram, Silvia, 2019. "Understanding Society and its income data," Understanding Society Working Paper Series 2019-08, Understanding Society at the Institute for Social and Economic Research.
    18. Annette Alstadsæter & Bernt Bratsberg & Gaute Eielsen & Wojciech Kopczuk & Simen Markussen & Oddbjorn Raaum & Knut Røed, 2020. "The First Weeks of the Coronavirus Crisis: Who Got Hit, When and Why? Evidence from Norway," NBER Working Papers 27131, National Bureau of Economic Research, Inc.
    19. Matthias Schonlau & Arthur van Soest & Arie Kapteyn & Mick Couper, 2009. "Selection Bias in Web Surveys and the Use of Propensity Scores," Sociological Methods & Research, , vol. 37(3), pages 291-318, February.
    20. Cheti Nicoletti & Franco Peracchi & Vincenzo Atella, 2005. "Survey Response and Survey Characteristics: Micro-level Evidence from the European Commission Household Panel," CEIS Research Paper 64, Tor Vergata University, CEIS.
    21. Hans-Martin von Gaudecker & Radost Holler & Lena Janys & Bettina Siflinger & Christian Zimpelmann, 2020. "Labour supply in the early stages of the CoViD-19 Pandemic: Empirical Evidence on hours, home office, and expectations," ECONtribute Policy Brief Series 005, University of Bonn and University of Cologne, Germany.
    22. Carsten Schröder & Theresa Entringer & Jan Goebel & Markus M. Grabka & Daniel Graeber & Martin Kroh & Hannes Kröger & Simon Kühne & Stefan Liebig & Jürgen Schupp & Johannes Seebauer & Sabine Zinn, 2020. "COVID-19 Is Not Affecting All Working People Equally," SOEPpapers on Multidisciplinary Panel Data Research 1083, DIW Berlin, The German Socio-Economic Panel (SOEP).
    23. Couper, Mick P. & Kapteyn, Arie & Schonlau, Matthias & Winter, Joachim, 2007. "Noncoverage and nonresponse in an Internet survey," Munich Reprints in Economics 20093, University of Munich, Department of Economics.
    24. repec:adr:anecst:y:1999:i:55-56:p:05 is not listed on IDEAS
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    More about this item

    Keywords

    COVID-19; Job loss; Inequality; Mitigation; Financial distress;
    All these keywords.

    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
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

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