ECON5122 ECONOMETRIC ANALYSIS AND APPLICATIONS

Econometrics combines economics, mathematics, statistics with its applications involving real data analysis and computer programming. This course is an introductory course on the applications of econometric analysis at the graduate level. Topics include: linear model, large sample theory, parameters estimation methods, hypotheses testing, panel data models, discrete choice and censored data, etc., with applications to many real world economic problems.

2022-2023:

1st Term
ECON5122 (M.Sc.) Teacher: Prof. LI Zhen Merrick [Course Outline]
2nd Term