https://at-ceu.studyguide.timeedit.net/modules/DOPP5383?type=COREThis class will build on Impact Evaluation I to broaden student knowledge regarding impact evaluation, focusing on econometric techniques used for causal inference with experimental and observational data. Students will find and construct data sets to answer current policy questions and use the statistical package R to implement the techniques learned in class and apply these tools to analyze their chosen policy. Topics include matching, regression discontinuity, difference-in-difference and event-study designs (panel data), instrumental variables, and techniques for correct statistical inference.Part of the Quantitative Policy Analysis specialization for MAPP and MPA