Graphical Models for Causal Inference with Observational Data
Felix Elwert is the Vilas Associate Professor of Sociology at the University of Wisconsin–Madison. He is an expert in causal inference and regularly teaches courses on the subject. He conducts substantive research on topic in social demography, social stratification, and human mortality. His work has appeared in the American Journal of Sociology, the American Sociological Review, the American Journal of Public Health, and Demography.
5/22/2013 from 9:00 AM to 5:00 PM ~ 300 Wallace Hall
Topics include: non-parametric identification by adjustment; d-separation; the difference between overcontrol bias, confounding bias, and selection bias; what variables to control for and what variables not to control for in observational research; effect heterogeneity; structural assumptions in instrumental variables identification; and recent work on causal mediation analysis.
Please note that this course focuses on spotting and understanding causal opportunities and causal problems. It is not a course on statistical methods (no software component). Students will discuss numerous exercises in class and solve a short homework assignment for the second day.