Teaching:
POLI 784. Linear Methods in Causal Inference, UNC, 2024 Spring (graduates). Syllabus
Lecture 1: Basic Concepts in Empirical Analysis. Slides
Lecture 2: The Potential Outcome Framework. Slides
Lecture 3: Statistical Inference I. Slides
Lecture 4: Statistical Inference II. Slides
Lecture 5: Regression I. Slides
Lecture 6: Regression II. Slides
Lecture 7: Heterogeneous Treatment Effects I. Slides
Lecture 8: Heterogeneous Treatment Effects II. Slides
Lecture 9: Complex Designs. Slides
Lecture 10: Observational Studies. Slides
Lecture 11: Matching. Slides
Lecture 12: Weighting. Slides
Lecture 13: Regression and Balancing. Slides
Lecture 14: Doubly Robust Estimators. Slides
Lecture 15: Evaluate Your Research Design. Slides
Lecture 16: Instrumental Variable I. Slides
Lecture 17: Instrumental Variable II. Slides
Lecture 18: Instrumental Variable III. Slides
Lecture 19: Regression Discontinuity Design I. Slides
Lecture 20: Regression Discontinuity Design II. Slides
Lecture 21: Panel Data Analysis I. Slides
Lecture 22: Panel Data Analysis II. Slides
Lecture 23: Panel Data Analysis III. Slides
POLI 281-002, 281-004. Data in Politics I: An Introduction, UNC, 2023 Fall (undergraduates).
POLI 281-001, 281-002. Data in Politics I: An Introduction, UNC, 2023 Spring (undergraduates).
POLI 891-002. Advanced Topics in Causal Inference, UNC, 2022 Fall (graduates). Syllabus
Past experiences:
Guest lecture on the foundation causal inference at the City University of Hong Kong, 2022 Summer.
Guest Teaching Assistant for Professor Cyrus Samii's Quant II (PhD level causal inference), NYU, 2021 Spring.
Guest lecture on causal inference under interference at UW-Madison’s Department of Educational Policy Studies, 2021 Spring.
Guest lecture on causal inference under interference at Tsinghua University, 2021 Spring.
Guest lecture on the basic ideas of program evaluation at UW-Madison’s Department of Educational Policy Studies, 2020 Fall.
Teaching Assistant for Professor Cyrus Samii's Quant II (PhD level causal inference), NYU, 2020 Spring.
Guest lectures on the introduction of causal inference at Renmin University, Beijing, 2019 Summer.
Guest lecture on the application of machine learning in causal inference, The Hong Kong Polytechnic University, 2018 Summer
Teaching Assistant for Professor Thomas Brambor, Political Methods (Undergraduates), NYU, 2018 Spring.
Teaching Assistant for Professor Joshua Tucker, Comparative Politics (Undergraduates), NYU, 2017 Fall.
Teaching Assistant for Professor Michael Laver, Comparative Politics (Undergraduates), NYU, 2017 Spring.