Teaching

[Fall 2025] Econometrics, Peking University.

Course description: Intermediate-level course on empirical methods for analyzing economic data. Topics include OLS, multiple regression, panel data, program evaluation, instrumental variables, regression discontinuity, difference-in-differences, and event study methods. Emphasis on applying econometric tools in Stata to real-world datasets.

[Fall 2025] Applied Econometrics (PhD level), Institute of South-South Cooperation and Development, Peking University.

Course description: Taught in English for an international cohort of PhD students, many of whom are experienced officials and policymakers from developing countries. Covers regression analysis and modern causal inference methods, with focus on conceptual understanding, result interpretation, and policy relevance in development contexts.