Showing 1 - 8 of 8
In this paper, we apply Generalized Propensity Score matching (GPSM) method, which deals with a continuous treatment variable, to estimate the returns to education in China from 2010 to 2017. Results are compared with OLS estimates from the classical Mincerian equation, as well as estimates from...
Persistent link: https://www.econbiz.de/10012432748
In this paper, we apply Generalized Propensity Score Matching (GPSM) method, which deals with a continuous treatment variable, to estimate the returns to education in China from 2010 to 2017. Results are compared with OLS estimates from the classical Mincerian equation, as well as estimates from...
Persistent link: https://www.econbiz.de/10012498040
In this paper, we use the Chinese General Social Survey data to analyse the returns to upper secondary vocational education in China. To address possible endogeneity of vocational training due to omitted heterogeneity, we construct a novel instrumental variable using the proportion of tertiary...
Persistent link: https://www.econbiz.de/10012522972
In this paper, we use the Chinese General Social Survey data to analyse the returns to upper secondary vocational education in China. To address possible endogeneity of vocational training due to omitted heterogeneity, we construct a novel instrumental variable using the proportion of tertiary...
Persistent link: https://www.econbiz.de/10012597591
In this paper, we apply Generalized Propensity Score Matching (GPSM) method, which deals with a continuous treatment variable, to estimate the returns to education in China from 2010 to 2017. Results are compared with OLS estimates from the classical Mincerian equation, as well as estimates from...
Persistent link: https://www.econbiz.de/10012435596
In this paper, we use the Chinese General Social Survey data to analyse the returns to upper secondary vocational education in China. To address possible endogeneity of vocational training due to omitted heterogeneity, we construct a novel instrumental variable using the proportion of tertiary...
Persistent link: https://www.econbiz.de/10012533833
In this paper, we apply Generalized Propensity Score matching (GPSM) method, which deals with a continuous treatment variable, to estimate the returns to education in China from 2010 to 2017. Results are compared with OLS estimates from the classical Mincerian equation, as well as estimates from...
Persistent link: https://www.econbiz.de/10012492188
In this paper, we use the Chinese General Social Survey data to analyse the returns to upper secondary vocational education in China. To address possible endogeneity of vocational training due to omitted heterogeneity, we construct a novel instrumental variable using the proportion of tertiary...
Persistent link: https://www.econbiz.de/10012549822