Journal article

Working from Home, COVID-19, and Job Satisfaction

I Laß, E Vera-Toscano, M Wooden

Ilr Review | SAGE Publications | Published : 2025

Abstract

This article examines the impact of the growth in the incidence of working from home during the COVID-19 pandemic on workers’ job satisfaction. Using longitudinal data collected in 2019 and 2021 as part of the Household, Income and Labour Dynamics in Australia (HILDA) Survey, fixed-effects models of job satisfaction are estimated. Changes in the share of total weekly work hours usually worked from home are not found to have any significant association with changes in job satisfaction for men. By contrast, a strong significant positive (but nonlinear) association is found for women, and this relationship is concentrated on women with children. These findings suggest the main benefit of workin..

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Grants

Awarded by Melbourne Institute, University of Melbourne


Funding Acknowledgements

This study uses unit-record data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. The HILDA Survey Project was initiated and is funded by the Australian Government Department of Social Services (DSS) and is managed by the Melbourne Institute of Applied Economic and Social Research (Melbourne Institute). The findings and views reported in this article, however, are those of the authors and should not be attributed to either DSS or the Melbourne Institute. This research was supported by a US National Institutes of Health Grant (#R01AG071649: PI Lillard, with a sub-award to the University of Melbourne: PI Wooden), and by the Australian Government through the Australian Research Council's Centre of Excellence for Children and Families over the Life Course (Project ID CE200100025). The authors also thank Kerstin Ruckdeschel for comments on an earlier draft, Taylor Ey for research assistance, and Kevin Staub for advice on Stata's feologit estimator. An Online Appendix is available at http://journals.sagepub.com/doi/suppl/10.1177/00197939241301704. For general questions as well as for information regarding the data and/or computer programs, please contact the corresponding author, Inga LaB, at I.Lass@unimelb.edu.au.