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Displaced or Depressed? The Effect of Working in Automatable Jobs on Mental Health

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  • Blasco, Sylvie

    (University of Caen)

  • Rochut, Julie
  • Rouland, Benedicte

    (University of Nantes)

Abstract

Automation may destroy jobs and change the labour demand structure, thereby potentially impacting workers' health and well-being. Using French individual survey data, we estimate the effects of working in automatable jobs on mental health. Implementing propensity score matching to solve the issue of endogenous exposure to automation risk, we find that workers whose job is at risk of automation in the future are about 4 pp more likely to suffer at present from severe mental disorders. Fear of job loss within the year and fear of qualification or occupational changes seem relevant channels to explain our findings.

Suggested Citation

  • Blasco, Sylvie & Rochut, Julie & Rouland, Benedicte, 2022. "Displaced or Depressed? The Effect of Working in Automatable Jobs on Mental Health," IZA Discussion Papers 15434, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp15434
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    References listed on IDEAS

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    1. Reichert, Arndt R. & Tauchmann, Harald, 2017. "Workforce reduction, subjective job insecurity, and mental health," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 187-212.
    2. Eric Maurin & David Thesmar, 2004. "Changes in the Functional Structure of Firms and the Demand for Skill," Journal of Labor Economics, University of Chicago Press, vol. 22(3), pages 639-664, July.
    3. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    4. Abeliansky, Ana Lucia & Beulmann, Matthias, 2019. "Are they coming for us? Industrial robots and the mental health of workers," University of Göttingen Working Papers in Economics 379, University of Goettingen, Department of Economics.
    5. Sascha O. Becker & Marco Caliendo, 2007. "Sensitivity analysis for average treatment effects," Stata Journal, StataCorp LP, vol. 7(1), pages 71-83, February.
    6. Francis Green, 2004. "Work Intensification, Discretion, and the Decline in Well-Being at Work," Eastern Economic Journal, Eastern Economic Association, vol. 30(4), pages 615-625, Fall.
    7. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    8. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    9. Elena Cottini & Paolo Ghinetti, 2018. "Employment insecurity and employees' health in Denmark," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 426-439, February.
    10. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    11. Lordan, Grace & Stringer, Eliza-Jane, 2022. "People versus machines: The impact of being in an automatable job on Australian worker’s mental health and life satisfaction," Economics & Human Biology, Elsevier, vol. 46(C).
    12. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2017. "Unobservable, but unimportant? The relevance of usually unobserved variables for the evaluation of labor market policies," Labour Economics, Elsevier, vol. 46(C), pages 14-25.
    13. Henrik Schwabe & Fulvio Castellacci, 2020. "Automation, workers’ skills and job satisfaction," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-26, November.
    14. Patel, Pankaj C. & Devaraj, Srikant & Hicks, Michael J. & Wornell, Emily J., 2018. "County-level job automation risk and health: Evidence from the United States," Social Science & Medicine, Elsevier, vol. 202(C), pages 54-60.
    15. DeCanio, Stephen J., 2016. "Robots and humans – complements or substitutes?," Journal of Macroeconomics, Elsevier, vol. 49(C), pages 280-291.
    16. Michael Lechner, 2002. "Program Heterogeneity And Propensity Score Matching: An Application To The Evaluation Of Active Labor Market Policies," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 205-220, May.
    17. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    18. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    19. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
    20. Innocenti, Stefania & Golin, Marta, 2022. "Human capital investment and perceived automation risks: Evidence from 16 countries," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 27-41.
    21. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
    22. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2014. "Unobservable, but Unimportant? The Influence of Personality Traits (and Other Usually Unobserved Variables) for the Evaluation of Labor Market Policies," IZA Discussion Papers 8337, Institute of Labor Economics (IZA).
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    2. Miele, Kai R., 2024. "Mental Health and Labor Market Effects of Anticipating Job Loss," CINCH Working Paper Series (since 2020) 82169, Duisburg-Essen University Library, DuEPublico.

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    More about this item

    Keywords

    mental health; automation; job insecurity; propensity score matching;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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