JOURNAL ARTICLE
The Spillover Effects of the Spouse's Retirement on Depression: Evidence From Chinese Middle-Aged and Older Adult Couples.
Published In: Journals of Gerontology Series B: Psychological Sciences & Social Sciences, 2024, v. 79, n. 4. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Xiong, Xiaohan; Li, Lin; Li, Rui; Yang, Hualei; Feng, Amei 3 of 3
Abstract
This study investigates how a spouse's retirement influences an individual's depression among Chinese urban-worker couples, focusing on both direct effects—through changes in household resources and health investment—and indirect effects via the social interaction (contagion) of couples' depression. Using panel data from the 2010–2018 China Family Panel Studies and employing a Fuzzy Regression Discontinuity design combined with simultaneous equations, the research finds that a spouse’s retirement generally improves the other’s depression, with direct spillover effects being stronger than indirect ones. Gender differences are notable: husbands’ depression improves following wives’ retirement, likely due to increased care and companionship, while wives’ depression worsens after husbands’ retirement, mainly because of reduced household income and constrained health investment. The study also reveals that spouses’ depression levels are significantly interrelated, with wives’ depression more susceptible to husbands’ depressive symptoms, highlighting the importance of considering intrahousehold dynamics and gender roles in retirement and mental health policies.
Additional Information
- Source:Journals of Gerontology Series B: Psychological Sciences & Social Sciences. 2024/04, Vol. 79, Issue 4, p1
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2024
- ISSN:1079-5014
- DOI:10.1093/geronb/gbad191
- Accession Number:176470027
- Copyright Statement:Copyright of Journals of Gerontology Series B: Psychological Sciences & Social Sciences is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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