STATS 265
Causal Inference
Various approaches to causal inference focusing on the Rubin causal model and propensity-score methods. Topics include randomized experiments, observational studies, non-compliance, ignorable and non-ignorable treatment assignment, instrumental variables, and sensitivity analysis. Applications from economics, politics, education, and medicine.
Topics
- randomized experiments
- observational studies
- non-compliance
- ignorable and non-ignorable treatment assignment
- instrumental variables
- and sensitivity analysis
Topics explicitly listed in official catalogue description
Prerequisites & course information
Various approaches to causal inference focusing on the Rubin causal model and propensity-score methods. Topics include randomized experiments, observational studies, non-compliance, ignorable and non-ignorable treatment assignment, instrumental variables, and sensitivity analysis. Applications from economics, politics, education, and medicine.
Sources
- Course catalogue ↗2026-2027