top of page
Teaching:

POLI 784Linear 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 IISlides

Lecture 9: Complex DesignsSlides

Lecture 10: Observational StudiesSlides

Lecture 11: MatchingSlides

Lecture 12: WeightingSlides

Lecture 13: Regression and BalancingSlides

Lecture 14: Doubly Robust EstimatorsSlides

Lecture 15: Evaluate Your Research DesignSlides

Lecture 16: Instrumental Variable ISlides

Lecture 17: Instrumental Variable IISlides

Lecture 18: Instrumental Variable IIISlides

Lecture 19: Regression Discontinuity Design ISlides

Lecture 20: Regression Discontinuity Design IISlides

Lecture 21: Panel Data Analysis ISlides

Lecture 22: Panel Data Analysis IISlides

Lecture 23: Panel Data Analysis IIISlides

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.

bottom of page