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The distribution of COVID‐19–related risks

Author

Listed:
  • Patrick Baylis
  • Pierre‐Loup Beauregard
  • Marie Connolly
  • Nicole M. Fortin
  • David A. Green
  • Pablo Gutiérrez‐Cubillos
  • Samuel Gyetvay
  • Catherine Haeck
  • Tímea Laura Molnár
  • Gaëlle Simard‐Duplain
  • Henry E. Siu
  • Maria teNyenhuis
  • Casey Warman

Abstract

We document two COVID‐19–related risks, viral risk and employment risk, and their distributions across the Canadian population. The measurement of viral risk is based on the VSE COVID‐19 Risk/Reward Assessment Tool, created to assist policy‐makers in determining the impacts of pandemic‐related economic shutdowns and re‐openings. Women are more concentrated in high‐viral‐transmission‐risk occupations, which is the source of their greater employment loss over the first part of the pandemic. They were also less likely to maintain contact with their former employers, reducing employment recovery rates. Low‐educated workers face the same viral risk rates as high‐educated workers but much higher employment losses. This is largely due to their lower likelihood of switching to working from home. For both women and the low‐educated, existing inequities in their occupational distributions and living situations have resulted in them bearing a disproportionate amount of the risk emerging from the pandemic. Assortative matching in couples has tended to exacerbate risk inequities. Dans cet article, nous documentons deux risques associés à la COVID‐19, soit le risque de contracter le virus étant donné l'emploi occupé et le risque de perdre son emploi dans le contexte de la pandémie. La répartition de ces risques dans la population canadienne est aussi documentée. La mesure du risque viral est basée sur l'outil de visualisation des risques par profession et industrie liés à la COVID‐19 de la VSE, créée pour aider les décideurs à déterminer les impacts des fermetures et réouvertures des différents secteurs de l’économie durant la pandémie. On note que les femmes sont plus présentes dans les professions à haut risque viral, ce qui explique en partie leur plus grande perte d'emploi durant la première partie de la pandémie. Durant la pandémie, elles étaient également moins susceptibles de demeurer en contact avec leurs anciens employeurs, ce qui a affecté négativement leur taux de retour au travail. Le risque viral était similaire pour les travailleurs peu éduqués et les travailleurs hautement qualifiés, mais les pertes d'emplois ont été beaucoup plus importantes pour les travailleurs peu éduqués. Cette différence peut être attribuable à leur plus faible capacité à effectuer leur travail à domicile étant donné la nature de leur emploi. Tant pour les femmes que pour les personnes peu éduquées, les inégalités existantes dans leurs conditions de vie et leur répartition professionnelle les ont conduites à subir une part plus élevée du risque lié à la pandémie. Enfin, l'appariement assortatif des couples selon les professions a eu tendance à exacerber les inégalités face aux risques.

Suggested Citation

  • Patrick Baylis & Pierre‐Loup Beauregard & Marie Connolly & Nicole M. Fortin & David A. Green & Pablo Gutiérrez‐Cubillos & Samuel Gyetvay & Catherine Haeck & Tímea Laura Molnár & Gaëlle Simard‐Duplain , 2022. "The distribution of COVID‐19–related risks," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 172-213, February.
  • Handle: RePEc:wly:canjec:v:55:y:2022:i:s1:p:172-213
    DOI: 10.1111/caje.12540
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    Other versions of this item:

    • Patrick Baylis & Pierre-Loup Beauregard & Marie Connolly & Nicole Fortin & David A. Green & Pablo Gutiérrez-Cubillos & Samuel Gyetvay & Catherine Haeck & Tímea L. Molnár & Gäelle Simard-Duplain & Henr, 2020. "The Distribution of COVID-19 Related Risks," CIRANO Working Papers 2020s-50, CIRANO.
    • Patrick Baylis & Pierre-Loup Beauregard & Marie Connolly & Nicole Fortin & David A. Green & Pablo Gutierrez Cubillos & Sam Gyetvay & Catherine Haeck & Timea Laura Molnar & Gaëlle Simard-Duplain & Henr, 2020. "The Distribution of COVID-19 Related Risks," NBER Working Papers 27881, National Bureau of Economic Research, Inc.

    References listed on IDEAS

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    Cited by:

    1. Alejandra Bellatin & Gabriela Galassi, 2022. "What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada," Staff Working Papers 22-17, Bank of Canada.
    2. Maryna Tverdostup, 2021. "Gender Gaps in Employment, Wages, and Work Hours: Assessment of COVID-19 Implications," wiiw Working Papers 202, The Vienna Institute for International Economic Studies, wiiw.
    3. Alex Chernoff & Casey Warman, 2023. "COVID-19 and implications for automation," Applied Economics, Taylor & Francis Journals, vol. 55(17), pages 1939-1957, April.
    4. Hanley, Brenda J. & Carstensen, Michelle & Walsh, Daniel P. & Christensen, Sonja A. & Storm, Daniel J. & Booth, James G. & Guinness, Joseph & Them, Cara E. & Ahmed, Md Sohel & Schuler, Krysten L., 2022. "Informing Surveillance through the Characterization of Outbreak Potential of Chronic Wasting Disease in White-Tailed Deer," Ecological Modelling, Elsevier, vol. 471(C).
    5. Pierre Brochu & Jonathan Créchet, 2021. "Survey Non-response in Covid-19 Times: The Case of the Labour Force Survey," Working Papers 2109E, University of Ottawa, Department of Economics.

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    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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