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People versus machines: the impact of being in an automatable job on Australian worker’s mental health and life satisfaction

Lordan, Grace and 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 and Human Biology, 46. ISSN 1570-677X

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Identification Number: 10.1016/j.ehb.2022.101144

Abstract

This study explores the effect on mental health and life satisfaction of working in an automatable job. We utilise an Australian panel dataset (HILDA), and take a fixed effects linear regression approach, to relate a person being in automatable work to proxies of their wellbeing. Overall, we find evidence that automatable work has a small, detrimental impact on the mental health and life satisfaction of workers within some industries, particularly those with higher levels of job automation risk, such as manufacturing. Furthermore, we find no strong trends to suggest that any particular demographic group is disproportionately impacted across industries. These findings are robust to a variety of specifications. We also find evidence of adaptation to these effects after one-year tenure on the job, indicating a limited role for firm policy.

Item Type: Article
Official URL: https://www.sciencedirect.com/journal/economics-an...
Additional Information: © 2022 Published by Elsevier B.V.
Divisions: Psychological and Behavioural Science
Subjects: H Social Sciences > HD Industries. Land use. Labor
B Philosophy. Psychology. Religion > BF Psychology
JEL classification: I - Health, Education, and Welfare > I0 - General > I00 - General
J - Labor and Demographic Economics > J1 - Demographic Economics > J10 - General
Date Deposited: 03 May 2022 10:00
Last Modified: 23 Jul 2022 23:37
URI: http://eprints.lse.ac.uk/id/eprint/115018

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