Harmonizing the Yin and Yang: Gender Disparities in Subjective Well-Being after Retirement in China
Erkmen Aslim,
Shin-Yi Chou and
Han Yu
No 31780, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
China’s distinctive demographic landscape, early retirement policies, and deeply ingrained gender norms provide a unique backdrop for investigating gender disparities in retirement and subjective well-being. Drawing upon data from the China Family Panel Studies and leveraging the variation around the pensionable age cutoff, we find substantial increases in retirement rates, surging by 19 percentage points for males and 13 percentage points for females in proximity to this age threshold. Notably, retirement manifests significant gender heterogeneity in its influence on life satisfaction, leading to an enhancement among males while not yielding statistically significant improvements among females. Furthermore, this study probes multiple dimensions of subjective well-being and objective health behaviors, laying bare gender disparities in health, behaviors, perceptions of income and social status, and confidence about the future. Males showcase improvements in healthy behaviors, report enhanced self-perceived health, perceive higher relative income and social status, and exude greater confidence about their future. In stark contrast, females show no statistically significant changes along these dimensions. In fact, they tend to engage in health-compromising behaviors, such as increased smoking, and exhibit higher rates of obesity. These findings underscore the imperative of recognizing gender disparities in the consequences of retirement on subjective well-being. They highlight the need for targeted policies aimed at enhancing social and economic opportunities for women, ultimately striving for greater gender equality in the post-retirement phase.
JEL-codes: I10 I12 I31 J16 J26 (search for similar items in EconPapers)
Date: 2023-10
New Economics Papers: this item is included in nep-age, nep-cna, nep-gen, nep-hap, nep-hea and nep-lab
Note: EH
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