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Displaced or depressed? Working in automatable jobs and mental health

Author

Listed:
  • Sylvie Blasco

    (UNICAEN - Université de Caen Normandie - NU - Normandie Université)

  • Julie Rochut

    (CNAV)

  • Benedicte Rouland

    (AUT - Auckland University of Technology)

Abstract

Automation may destroy jobs and change the labor demand structure, thereby potentially impacting workers' mental health. Implementing propensity score matching on French individual survey data, we find that working in an automatable job is associated with a 3 pp increase in the probability of suffering from mental disorders. Fear of automation through fear of job loss, expectation of a required change in skills, and fear of unwanted job mobility seem to be relevant channels to explain the findings.

Suggested Citation

  • Sylvie Blasco & Julie Rochut & Benedicte Rouland, 2024. "Displaced or depressed? Working in automatable jobs and mental health," Post-Print hal-04613897, HAL.
    • Handle: RePEc:hal:journl:hal-04613897
    DOI: 10.1111/irel.12356
    Note: View the original document on HAL open archive server: https://hal.science/hal-04613897v1
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    References listed on IDEAS

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    2. Sarah Fleche & Eva Moreno Galbis & Ariell Reshef & Claudia Senik, 2026. "How ICT shapes wages, working conditions, and job satisfaction," CEP Discussion Papers dp2143, Centre for Economic Performance, LSE.

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