Advanced Topics in Causal Inference

This course covers recent advanced topics in causal inference, such as potential outcome models, randomized experiments, selection on observables, instrumental variables, testability of identifying assumptions, difference-in-differences models, changes-in-changes approach, synthetic control methods, regression discontinuity designs, and sample selection.