Course Materials
Week | Date | Topic | Slides | Extra materials | Due |
---|---|---|---|---|---|
1 | 2024-10-01 | General introduction with four examples | Lecture 1 | Papers listed at the end of slides | — |
1 | 2024-10-03 | Potential outcome framework concepts | Lecture 2 | Papers listed at the end of slides | — |
2 | 2024-10-08 | Randomized experiment and Fisher’s exact p-value | Lecture 3 | — | — |
2 | 2024-10-10 | Fisher’s exact test: R example and case study | Lecture 4 | R Example to compute Fisher’s exact p-value | — |
2 | 2024-10-13 | — | — | — | HW1 due at 11:59pm |
3 | 2024-10-15 | Neyman’s repeated sampling approach for completely randomized experiments | Lecture 5 | — | — |
3 | 2024-10-17 | Regression for completely randomized experiment | Lecture 6 | R Example for regression analysis | — |
4 | 2024-10-22 | Stratified randomized experiments | Lecture 7 | case study on HOMEFOOD randomized trial | — |
4 | 2024-10-24 | Pairwise randomized experiments | Lecture 8 | R example | — |
4 | 2024-10-25 | — | — | — | Quiz1 due |
4 | 2024-10-27 | — | — | — | HW2 due at 11:59pm |
5 | 2024-10-29 | Non-compliance and instrumental variables, part I | Lecture 9 | — | — |
5 | 2024-10-31 | Non-compliance and instrumental variables, part II | Lecture 10 | R example on Job Search Intervention Study | — |
6 | 2024-11-05 | Conditional randomized experiments, unconfoundedness | Lecture 11 | — | — |
6 | 2024-11-07 | Propensity score estimation, trimming, stratification | Lecture 12 | R example | — |
6 | 2024-11-10 | — | — | — | HW3 due at 11:59pm |
7 | 2024-11-12 | Matching methods | Lecture 13 | Lalonde stratification, Lalonde matching | — |
8 | 2024-11-19 | Inverse probability weighting | Lecture 14 | Lalonde IPW | — |
8 | 2024-11-21 | Doubly robust estimator & Assessing unconfoundedness | Lecture 15, Lecture 16 | — | — |
8 | 2024-11-22 | — | — | — | Quiz2 due |
8 | 2024-11-24 | — | — | — | HW4 due at 11:59pm |
9 | 2024-12-03 | Sensitivity analysis | Lecture 17 | — | — |
10 | 2024-12-10 | — | — | — | final project due at 5:00pm |