Propensity Score Techniques to Evaluate Returns of College Education
This paper surveys the empirical evidence on causal effects of college education on earnings for China and compares alternative studies in the light of their underlying identifying assumptions. Recent data from a national survey, the Chinese Health and Family Life Survey (CHFLS), provide the empirical basis for the application of mathematical models for the return to college education. In the empirical analysis we assess the earning differential of college graduates versus high school graduates. Probit estimates show that parental kind of job, gender and urban influence positively the probability of obtaining a university degree. Then a matching method is used to estimate the effect of college achievement on earnings. Results suggest that eliminating selection bias college education has a significant positive impact on earnings. This conclusion leads to important policy implications both for the financing of college education and on individual decisions.
Min Fan Jiaping Zhang Xiaoyong Chen
Research Center of Financial Engineering, South China University of Technology, Guangzhou, 510006, C School of Commerce, Huaqiao University, Quanzhou, 362021, China
国际会议
三亚
英文
451-454
2009-04-24（万方平台首次上网日期，不代表论文的发表时间）