400022 SE Causal inference (2025S)

LECTURER: Daniel Auer
This course introduces PhD students of different disciplines within the social sciences to advanced questions of causality. We will critically(!) discuss seminal, provocative, and original empirical studies on key societal questions, such as the causes and consequences of social and political behavior, immigration attitudes, and the (unintended) consequences of public policies. The goal of this course is to provide participants with the methodological knowledge and the practical skills to conduct quantitative research and derive causal statements on their own. Participants should have prior knowledge of linear regressions.