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Announcements and Resources
Lecture slides
Causal and Statistical Inference Foundations
- 1 introduction [pdf]
- 2 identification analysis with potential outcomes and DAGs [pdf]
- 3 statistical inference for descriptive quantities 1 [pdf]
- 4 statistical inference for descriptive quantities 2 [pdf]
- 5 statistical inference for causal quantities [pdf]
Canonical Observational Designs
- 6 conditioning to identify causal effects [pdf]
- 7 multiple regression [pdf]
- 8 matching and weighting [pdf]
- 9 instrumental variables basics [pdf]
- 10 instrumental variables extensions [pdf]
- 11 front door criterion [pdf]
- 12 did with single event [pdf]
- 13 did with multiple events [pdf] [R notebook pdf]
- 14 synthetic control with 1 treated unit [pdf]
- 15 panel imputation and generalized synthetic control [pdf]
- 16 regression discontinuity [pdf]
- 17 regression discontinuity extensions [pdf]
Randomized Experiments
- 18 basics of experimental design and analysis [pdf]
- 19 complex experimental designs and design effects [pdf]
Beyond Average Treatment Effects
- 20 mediation effects [pdf]
- 21 moderation and heterogeneous treatment effects [pdf]
- 22 distributional effects (to be covered in recitation) [pdf]
- 23 interference and spillover effects [pdf]
- 24 multiple outcomes and multiple comparisons [pdf]
- 25 missing data [pdf]
Homework