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Announcements and Resources
Lecture Slides
Causal Identification and Statistical Inference Foundations
- 1 introduction to causal effects and mechanisms [pdf]
- 2 a primer on causal identification analysis with potential outcomes and DAGs [pdf]
- 3 a primer on design-based statistical inference for descriptive quantities I [pdf]
- 4 design-based statistical inference for descriptive quantities II [pdf]
- 5 design-based 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 difference-in-differences for a single event [pdf]
- 13 difference-in-differences with multiple events [pdf] [sim output]
- 14 synthetic control with one treated unit [pdf]
- 15 general panel imputation methods [pdf]
- 16 regression discontinuity introduction [pdf]
- 17 regression discontinuity extensions [pdf]
Designing Experiments
- 18 experimental design introduction [pdf]
- 19 complex experimental designs and design effects [pdf]
Beyond Average Treatment Effects
- 20 moderation and mediation effects [pdf]
- 21 interference and spillover effects [pdf]
- 22 multiple outcomes and multiple comparisons [pdf]
- recent DI blog post with review of current methods: [link]
- missing data [pdf]
Homework Assignments