Teaching
Harvard University
- GOV2002: Causal Inference with Applications (Professor Kosuke Imai), Fall 2025 Syllabus / Evaluation
- Week 2 (Permutation Test) Slides
- Week 3 (Average Treatment Effect) Slides
- Week 4 (Linear Regression and Randomized Experiments) Slides
- Week 5 (Instrumental Variable) Slides
- Review Lecture (Causal Inference for Experimental Data) Slides
- Week 6 (Regression Discontinuity Design) Slides
- Week 7 (Review of Midterm / Sensitivity Analysis) Slides
- Week 8 (Partial Identification / Directed Acyclic Graph) Slides
- Week 9 (Matching / Weighting for Observational Studies) Slides
- Week 10 (Advanced Weighting / Causal Machine Learning / Mediation) Slides
- Week 11 (Difference-in-Difference / Synthetic Control Method) Slides
- Review Lecture (Causal Inference for Observational Data) Slides
- GOV2003: Statistical Models for Quantitative Social Science (Professor Kosuke Imai), Spring 2026
- Week 1 (Review of Linear Algebra) Slides
- Week 2 (Projection and OLS) Slides
- Week 3 (Gauss-Markov / FWL) Slides
- Week 4 (QR Decomposition / Hypothesis Testing) Slides
- Week 5 (MLE) Slides
- Week 6 (Asymptotics of MLE) Slides
- Week 7 (Misspecified Models / Logistic Regression) Slides
- Review Lecture (OLS / MLE) Slides
- Week 8 (Bootstrap / Hypothesis Testing) Slides
- Week 9 (Bias-Variance Decomposition / Optimization with Constraints) Slides
- Week 10 (Principal Component Analysis / Shrinkage) Slides
- Week 11 (Shrinkage / Model Assessment) Slides
- Week 12 (Latent Variable Model / EM Algorithm / Variational Inference) Slides
