Advanced Social Statistics

This course explores a range of advanced statistical methods used in quantitative social science research. The first half of the course focuses on generalized linear models and maximum likelihood estimation, and the second half of the course focuses on applied causal inference and quasi-experimental methods. We emphasize both proper implementation of these statistical strategies and critical engagement with their key assumptions. Familiarity with introductory probability theory and multivariate linear regression is required.