IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i11p6924-d832297.html
   My bibliography  Save this article

Prospective Cohort Study of Sociodemographic and Work-Related Factors and Subsequent Unemployment under COVID-19 Pandemic

Author

Listed:
  • Makiko Kuroishi

    (Department of Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu 807-8555, Japan)

  • Tomohisa Nagata

    (Department of Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu 807-8555, Japan)

  • Ayako Hino

    (Department of Mental Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu 807-8555, Japan)

  • Seiichiro Tateishi

    (Disaster Occupational Health Center, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu 807-8555, Japan)

  • Akira Ogami

    (Department of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu 807-8555, Japan)

  • Mayumi Tsuji

    (Department of Environmental Health, School of Medicine, University of Occupational and Environmental Health, Kitakyushu 807-8555, Japan)

  • Shinya Matsuda

    (Department of Preventive Medicine and Community Health, School of Medicine, University of Occupational and Environmental Health, Kitakyushu 807-8555, Japan)

  • Koji Mori

    (Department of Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu 807-8555, Japan)

  • Yoshihisa Fujino

    (Department of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu 807-8555, Japan)

  • on behalf of the CORoNaWork Project

    (Membership of The CORoNaWork Project is provided in the Acknowledgments.)

Abstract

The previous studies found that women and low-income households were more likely to experience unemployment prior to the COVID-19 pandemic. However, there is no cohort study to examine the relationship during the COVID-19 pandemic. The aim of this prospective cohort study is to examine the relationship between sociodemographic factors and unemployment during the COVID-19 pandemic in Japan. We surveyed the socioeconomic status, personal characteristics, and occupation of recruited workers at baseline (22–25 December 2020); subsequent unemployment was examined at follow-up (18–19 February 2021). We determined the odds ratio of unemployment by sociodemographic status and occupation. The multivariate model was adjusted for sex and age. Among the 19,941 participants, 725 (3.6%) had experienced unemployment. Multivariate analysis showed significant high unemployment amongst women and participants of younger age, bereaved or divorced, unmarried, of lower income, or with short educational background. By occupation, the unemployment rate of temporary or contract employees and self-employed is high. COVID-19 expelled socially vulnerable groups from employment. This suggests the need for employment and economic support for such individuals.

Suggested Citation

  • Makiko Kuroishi & Tomohisa Nagata & Ayako Hino & Seiichiro Tateishi & Akira Ogami & Mayumi Tsuji & Shinya Matsuda & Koji Mori & Yoshihisa Fujino & on behalf of the CORoNaWork Project, 2022. "Prospective Cohort Study of Sociodemographic and Work-Related Factors and Subsequent Unemployment under COVID-19 Pandemic," IJERPH, MDPI, vol. 19(11), pages 1-10, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6924-:d:832297
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/11/6924/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/11/6924/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jong-Wha Lee & Warwick J. McKibbin, 2004. "Globalization and Disease: The Case of SARS," Asian Economic Papers, MIT Press, vol. 3(1), pages 113-131.
    2. Becker, Gary S, 1973. "A Theory of Marriage: Part I," Journal of Political Economy, University of Chicago Press, vol. 81(4), pages 813-846, July-Aug..
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lamia Kandil & Hélène Perivier, 2017. "La division sexuée du travail dans les couples selon le statut marital en France - une étude à partir des enquêtes emploi du temps de 1985-1986, 1998-1999, et 2009-2010," Documents de Travail de l'OFCE 2017-03, Observatoire Francais des Conjonctures Economiques (OFCE).
    2. Michelle Sheran Sylvester, 2007. "The Career and Family Choices of Women: A Dynamic Analysis of Labor Force Participation, Schooling, Marriage and Fertility Decisions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(3), pages 367-399, July.
    3. Kota Ogasawara & Mizuki Komura, 2022. "Consequences of war: Japan’s demographic transition and the marriage market," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(3), pages 1037-1069, July.
    4. Sonia Oreffice & Climent Quintana-Domeque, 2012. "A Matter of Weight? The Role of Spouses. Physical Attractiveness on Hours of Work," CHILD Working Papers Series 7, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
    5. Klumpp, Tilman & Su, Xuejuan, 2013. "Second-order statistical discrimination," Journal of Public Economics, Elsevier, vol. 97(C), pages 108-116.
    6. Rania Gihleb & Osnat Lifshitz, 2022. "Dynamic Effects of Educational Assortative Mating on Labor Supply," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 46, pages 302-327, October.
    7. Cristian Bartolucci & Francesco Devicienti, 2012. "Better Workers Move to Better Firms: A Simple Test to Identify Sorting," Carlo Alberto Notebooks 259, Collegio Carlo Alberto.
    8. Steven N. Durlauf & Ananth Seshadri, 2003. "Is assortative matching efficient?," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 21(2), pages 475-493, March.
    9. Aldasoro, Iñaki & Delli Gatti, Domenico & Faia, Ester, 2017. "Bank networks: Contagion, systemic risk and prudential policy," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 164-188.
    10. Miriam Marcén & Marina Morales, 2019. "Live together: does culture matter?," Review of Economics of the Household, Springer, vol. 17(2), pages 671-713, June.
    11. Evan J. Miller-Tait & Sandeep Mohapatra & M. K. (Marty) Luckert & Brent M. Swallow, 2019. "Processing technologies for undervalued grains in rural India: on target to help the poor?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(1), pages 151-166, February.
    12. Eugene Choo & Shannon Seitz & Aloysius Siow, 2008. "The Collective Marriage Matching Model: Identification, Estimation and Testing," Working Papers tecipa-340, University of Toronto, Department of Economics.
    13. Lepinteur, Anthony & Flèche, Sarah & Powdthavee, Nattavudh, 2016. "My Baby Takes the Morning Train: Gender Identity, Fairness, and Relative Labor Supply Within Households," IZA Discussion Papers 10382, Institute of Labor Economics (IZA).
    14. Bertocchi, Graziella & Brunetti, Marianna & Torricelli, Costanza, 2014. "Who holds the purse strings within the household? The determinants of intra-family decision making," Journal of Economic Behavior & Organization, Elsevier, vol. 101(C), pages 65-86.
    15. Lones Smith & Axel Anderson, 2002. "Assortative Matching, Reputation, and the Beatles Break-Up," Game Theory and Information 0201002, University Library of Munich, Germany.
    16. John M. Abowd & Francis Kramarz & Sébastien Pérez-Duarte & Ian M. Schmutte, 2018. "Sorting Between and Within Industries: A Testable Model of Assortative Matching," Annals of Economics and Statistics, GENES, issue 129, pages 1-32.
    17. Torsten Persson & Guido Tabellini, 2009. "Democratic Capital: The Nexus of Political and Economic Change," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(2), pages 88-126, July.
    18. Renato Gomes & Alessandro Pavan, 2013. "Cross-Subsidization and Matching Design," Discussion Papers 1559, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    19. Guoli Chen & Sterling Huang & Philipp Meyer‐Doyle & Denisa Mindruta, 2021. "Generalist versus specialist CEOs and acquisitions: Two‐sided matching and the impact of CEO characteristics on firm outcomes," Strategic Management Journal, Wiley Blackwell, vol. 42(6), pages 1184-1214, June.
    20. Weiss, Yoram & Yi, Junjian & Zhang, Junsen, 2013. "Hypergamy, Cross-Boundary Marriages, and Family Behavior," IZA Discussion Papers 7293, Institute of Labor Economics (IZA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6924-:d:832297. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.