Prerequisites: POSC 202A, POSC 202B; or equivalent; graduate standing; or consent of instructor
Description: Introduces modern techniques for causal inference in quantitative analysis. Topics include the potential outcome framework, causal graphs, regression discontinuity, DiD, matching methods, instrumental variables, causal bounds, and selection of covariates in regression analyses. Combines theory and practical applications with examples.