Title :
The Effect of Health on Labor Force Participation
Author_Institution :
Finacial Eng. Center, South Univ. of Technol., Guangzhou
Abstract :
Health plays an important part in individual human capital. Studies in the relationship between individual health status and labor participation rate of laborers are urgently needed to be solved in China. We use ordered probit model to process the self-assessed health status. Considering covariate endogeneity and sample selection bias, we use multiple treatment effect method to analyze and meet the consistent estimation on the effect of health status on labor force participation. The result shows that health status significantly affects the individual labor force participation rate of China
Keywords :
labour resources; occupational stress; covariate endogeneity; health effects; health status; human capital; labor force participation; ordered probit model; sample selection bias; Aging; Data analysis; Econometrics; Economic forecasting; Economic indicators; Humans; Public policy; Reflection; Systems engineering and theory; Average Treatment Effect; Multiple Treatment Effects; Propensity Score; Sample Selection Bias;
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.4281779
