Course Materials

WeekDateTopicSlidesExtra materialsDue
12025-09-30General introduction with four examplesLecture 1Papers listed at the end of slides—
12025-10-02Potential outcome framework conceptsLecture 2Papers listed at the end of slides—
22025-10-07Randomized experiment and Fisher’s exact p-valueLecture 3——
32025-10-14Fisher’s exact test: R example and case studyLecture 4R Example to compute Fisher’s exact p-value—
32025-10-16Neyman’s repeated sampling approach for completely randomized experimentsLecture 5——
32025-10-19———HW1 due at 11:59pm
42025-10-21Regression for completely randomized experimentLecture 6R Example for regression analysis—
42025-10-23Stratified randomized experimentsLecture 7case study on HOMEFOOD randomized trial—
42025-10-24———Quiz1 due
52025-10-27———HW2 due at 11:59pm
52025-10-28Pairwise randomized experimentsLecture 8R example—
52025-10-30Non-compliance and instrumental variables, part ILecture 9——
62025-11-04Non-compliance and instrumental variables, part IILecture 10R example on Job Search Intervention Study—
62025-11-06Conditional randomized experiments, unconfoundednessLecture 11——
62025-11-09———Project Dataset selection due at 11:59pm
72025-11-10———HW3 due at 11:59pm
72025-11-11Propensity score estimation, trimming, stratificationLecture 12Simple stratification, Lalonde stratification—
72025-11-13Matching methodsLecture 13Lalonde matching—
82025-11-18Inverse probability weighting & doubly robust estimatorLecture 14, Lecture 15Lalonde IPW—
82025-11-20Assessing unconfoundedness & Sensitivity Analysis (if time permit)Lecture 16, Lecture 17——
82025-11-21———Quiz2 due
82025-11-23———HW4 due at 11:59pm