Returns to Schooling in Urban China: New Evidence Using Heteroskedasticity Restrictions to Obtain Identification Without Exclusion Restrictions

We estimate the returns to schooling using matched employer-employee data from Shanghai. To do so, we use a novel identification strategy, proposed by Lewbel (2012), which utilizes a heteroscedastic covariance restriction to construct an internal instrumental variable (IV). We find that, for the full sample, the Lewbel (2012) IV estimation suggests returns to schooling generally in the range 25-30 per cent, which is higher than extant studies using conventional IVs. The findings in this study underpin the need for the Chinese government to continue to invest in education and help explain why private demand for education remains strong, despite rising cost.