Causal Data Analysis
For this course the syllabus and full course materials are available.
Syllabus
- A general framework for causal data analysis.
- Designing and analyzing randomized experiments.
- Regression-based causal analysis with observational data.
- Matching methods for observational data.
- Difference-in-differences designs.
- Panel data methods: fixed effects and first differences.
- Synthetic control methods.
- Event-time analysis and dynamic treatment effects.
- Regression discontinuity design.
- Instrumental variables and causal identification.