Causal Inference

4 credits

This course covers designs and methods of causal inference, including randomized experiments, cross-sectional and longitudinal designs, and other tools such as sensitivity analysis and randomization inference. These methods are illustrated with examples in political science and positive political economy. Prerequisites: graduate standing.