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Subjective Well-Being Inequality Among Thai Older Adults

Evidence From the Health, Aging, and Retirement in Thailand (Hart) Survey

Bibliographic Data

ID24033548
AuthorsRathaporn Boonlert (Thammasat University, corresponding author)
Year2026
Volume35
Pages574-596
Publication date2026-08-01
Open AccessYes
TypeARTICLE
VenueJournal of Population and Social Studies (JOURNAL)
Journal identifiersISSN: 2465-4418 • E-ISSN: 2465-4418
PublisherInstitute for Population and Social Research (PUBLISHER)
DOI10.25133/jpssv352027.029
OpenAlexW7202269756
LanguageEN

This study examines subjective well-being inequality among older adults in Thailand using the 2022 wave of the Health, Aging, and Retirement in Thailand (HART) survey, comprising 3,607 observations. Subjective well-being is measured using respondents’ self-reported quality-of-life satisfaction scores. The study applies the mean log deviation (MLD), a decomposable inequality measure, and subgroup decomposition to assess how inequality is distributed within and between groups across the dimensions of demographics, socioeconomic status, health, family structure and support, and social participation. Results show that overall subjective well-being inequality is relatively low and is dominated by within-group variation, indicating substantial heterogeneity among older adults with similar observable characteristics. However, between-group inequality varies across dimensions. Health status, measured by self-rated health, has the largest between-group component, followed by geographic disparities, particularly provincial differences. Social participation explains a moderate share of inequality, whereas socioeconomic and family-related factors contribute only small shares. These findings suggest that subjective well-being inequality among older adults in Thailand is structured more by health status, geographic context, and social engagement than by conventional socioeconomic factors. The results support a multidimensional approach to later-life well-being policy, while noting that the analysis identifies patterns of inequality rather than causal effects.

Economic inequality · General Social Survey · Inequality · Social class · Social inequality · Socioeconomic status · Health disparities and outcomes · Intergenerational Family Dynamics and Caregiving · Psychological Well-being and Life Satisfaction

Highly citedNo

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