Ontology highlight
ABSTRACT: Objective
To further enhance the understanding of factors impacting female participation in the workforce based on health levels and to measure the excess work capacity of middle-aged and older female groups by residence and educational level.Methods
Data of women aged 45-74 were accessed from the China Health and Retirement Longitudinal Study (CHARLS) from 2011, 2013, 2015, to 2018. The health status of women was comprehensively evaluated by single health variables and frailty index. A Probit model was used to measure the excess working capacity of women by region (rural/urban) and educational level, taking all women aged 45-49, rural women aged 45-49, and rural (illiterate) women in all age groups as the benchmark, respectively.Results
The excess capacity of all C
SUBMITTER: Cheng X
PROVIDER: S-EPMC10009266 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature