This course explores the practical choices that researchers face in conducting quasi-experimental impact evaluations. Students will replicate findings from prominent policy research using a range of empirical techniques, including matching; regression; propensity score weighting; instrumental variables; discontinuity designs; and panel data methods. Lectures will emphasize the tradeoffs between empirical methods, techniques for assessing robustness, and strategies for effectively reporting results. Readings will focus on topics in labor economics and education policy, though students from all quantitative social science disciplines are welcome to enroll. The course will assume prior graduate-level coursework in quasi-experimental research methods.