Causal Inference

Catalog description

This course provides conceptual and methodological foundations for causal inference. The course begins by discussing the difference between randomized trials and observational studies and providing frameworks to define and estimate causal effects in each setting. Common challenges in causal inference will be discussed. It then covers various causal inference methods for evaluating policy effects under different types of designs. Finally, the course covers some advanced topics, including marginal structural models and doubly robust estimators.