Displaced or depressed? Working in automatable jobs and mental health
Sylvie Blasco (sylvie.blasco@unicaen.fr),
Julie Rochut and
Benedicte Rouland (benedicte.rouland@aut.ac.nz)
Additional contact information
Sylvie Blasco: UNICAEN - Université de Caen Normandie - NU - Normandie Université
Julie Rochut: INED - Institut national d'études démographiques, Caisse Nationale D'Assurance Vieillesse - Caisse Nationale D'Assurance Vieilless
Benedicte Rouland: AUT - Auckland University of Technology, LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - Nantes Univ - IAE Nantes - Nantes Université - Institut d'Administration des Entreprises - Nantes - Nantes Université - pôle Sociétés - Nantes Univ - Nantes Université
Post-Print from HAL
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 arequired change in skills, and fear of unwanted job mobility seem to be relevant channels to explain the findings.
Date: 2024-01-04
Note: View the original document on HAL open archive server: https://nantes-universite.hal.science/hal-04543541v1
References: Add references at CitEc
Citations:
Published in Industrial Relations, 2024, ⟨10.1111/irel.12356⟩
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04543541
DOI: 10.1111/irel.12356
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD (hal@ccsd.cnrs.fr).