It is an adage that association does not imply causation, yet causality is at the center of most social science inquiries. This course introduces a set of concepts, assumptions, and methods that allow students to rigorously assess causal relationships from experimental and observational data. Drawing on applications from sociology, economics, and political science, we discuss a variety of research designs and statistical methods, including randomized experiments, regression adjustment, matching and weighting, instrumental variables, regression discontinuity designs, panel data models (...
Read more about SOCIOL2245: Causal Inference for the Social Sciences