This course provides an introduction to statistical methods used for causal inference in the social sciences. Using the potential outcomes framework of causality, topics covered include research designs such as randomized experiments and observational studies. We explore the impact of noncompliance in randomized experiments, as well as nonignorable treatment assignment in observational studies. To analyze these research designs, the methods covered include matching, instrumental variables, difference-in-difference, synthetic control, and regression discontinuity. Examples are drawn from different social sciences.

    Teacher: Picture of Dominik HangartnerPicture of David HendryPicture of Nelson Ruiz Guarin