Schmidtke, J., Hetschko, J.C. orcid.org/0000-0002-2953-1548, Schöb, R. et al. (3 more authors) (2024) Does Worker Well-Being Adapt to a Pandemic? An Event Study Based on High-Frequency Panel Data. The Review of Income and Wealth, 70 (3). pp. 840-861. ISSN 0034-6586
Abstract
We estimate the dynamic impact of two waves of the COVID-19 pandemic on an exceptionally broad range of indicators of worker well-being. Our analyses are based on high-frequency panel data from an app-based survey of German workers and employ an event-study design with individual-specific fixed effects. We find that workers' mental health decreased substantially during the first wave of the pandemic. To a smaller extent, this is also true for life satisfaction and momentary happiness. Most well-being indicators converged to prepandemic levels when infection rates declined. During the second wave of the pandemic, overall worker well-being decreased less than that during the first wave. Life satisfaction does not seem to have changed at all. We conclude that worker well-being adapts to the pandemic. Moreover, subgroup analyses indicate that, in terms of well-being, workers who took part in a job retention scheme fared less well during the pandemic than other employees.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. Review of Income and Wealth published by John Wiley & Sons Ltd on behalf of International Association for Research in Income and Wealth. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | adaptation, COVID-19 pandemic, job retention scheme, mental health, well-being |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Economics Division (LUBS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Sep 2023 10:33 |
Last Modified: | 19 Nov 2024 14:25 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1111/roiw.12668 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:202938 |