Causal Inference

Catalog description

Theory and practice of causal inference in the social sciences, introduces basic concepts, such as counterfactuals and identification. Introduces the formal frameworks of potential outcomes and graphical models (DAGs). Covers experiments (in the lab and the field), and various regression-based approaches. Department consent required. Open only to Political Science graduate students.