Social networks and study abroad - The case of Chinese visiting students in the US

Using a unique data set on Chinese visiting students in the US, we investigate some non-traditional determinants, especially social networks/connections, on the number of Chinese students hosted in American universities. Applying truncated, OLS, and GLS estimation, we find that social networks/connections have a strong positive and significant effect, and the result is robust across model specifications and estimation methods.

Research Highlights► We construct a unique data set based on GSJT program. ► We present a demand/supply framework to demonstrate the impact of social networks. ► We apply truncated, OLS, and GLS models to study the determinants on school choice. ► Non-traditional determinants are approved in the process of school application. ► Social networks show a positive and significant effect on the number of GSJT student.