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Announcements
- Syllabus (NB: some parts to be updated): [pdf]
- No class on the following dates (check back for updates):
- January 21
- February 9
- February 11
- Midterm (in class): March 11
- Final (in class): May 11
- Teaching Assistant: Yinxuan Wang
- Recitation information:
Lectures
Inferential foundations
- 1 Introduction to causal effects and mechanisms [pdf]
- 2 Causal identification analysis with potential outcomes and DAGs [pdf]
- 3 Design based statistical inference I [pdf]
- 4 Design based statistical inference II [pdf]
- 5 Design based causal inference [pdf]
Conditioning-Based Identification Strategies
- 6 Conditioning to identify causal effects [pdf]
- 7 Matching and weighting [pdf]
- 8 Double machine learning for treatment effects [pdf]
Instrumental Variables
- 9 Instrumental variables basics [pdf]
- 10 Instrumental variables extensions [pdf]
Partial Identification
- 11 Partial identification bounds [pdf]
Homework