In this presentation, I provide a brief overview of quasiexperimental methods of estimating causal impacts using Stata: panel data, matching and reweighting, instrumental variables, and regression discontinuity designs, emphasizing practical considerations. I pay particular attention to the regression discontinuity method, which is the least widely known but the most well regarded of the quasiexperimental methods in those circumstances where it is appropriate.