This is a graduate level course in applied econometrics. Both microeconometric theory and empirical strategies for applied econometric research will be discussed. Modern causal inference including machine learning tools and big data analysis will be introduced. This course will discuss instrumental variable methods, treatment effect, matching, panel data models, differences-in-differences, regression discontinuity designs, binary response model, censored data, and modern causal inference topics including machine learning in causal inference, and so on. Students are advised to take ECON5120/ ECON5121/ ECON5122 before taking this course.


1st Term
2nd Term
ECON5150 (M.Phil/Ph.D.) Teacher: Prof. SHI Zhentao [Course Outline]