An introduction to the theoretical frameworks for causality and the empirical tools used in the estimation of causal effects. Topics include outcomes, causal graphs, experiments, matching, regression, diffference-in-differences, instrumental variables, sensitivity analysis, regression discontinuity, and more. This course draws on examples from political science, economics, education, public health, and sociology. Requires L32 581 or equivalent.
Section 01Causal Inference
INSTRUCTOR: LucasView Course Listing