Gov 2002: Causal Inference
With Michael Peress (Fall 2016)
Graduate course on the theory and implementation of causal inference methods for social science research. Topics include randomized experiments, matching, diff-in-diff, instrumental variables, regression discontinuity designs, sensitivity analysis, and causal mediation.
Math Prefresher: A Short Course in Quantitative Methods (Link)
(Summer 2016, Summer 2017)
A two-week graduate course on mathematics and computer programming for social scientists. The course introduces the mathematics and computer skills needed for quantitative and formal modeling courses offered at Harvard.