Causal inference with observational data: Regression Discontinuity and related methods in Stata

This overview of implementing quasi-experimental methods of estimating causal impacts (panel methods, matching estimators, instrumental variables, and regression discontinuity) emphasizes practical considerations and Stata-specific approaches, with examples using real data and comparisons across methods. Particular attention is paid to the regression discontinuity method, which seems to less well-known in the larger community of Stata users, but is the most well-regarded of the quasi-experimental methods in those circumstances where it is appropriate.