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857-0102-00L  Methods IV: Causal Inference

SemesterFrühjahrssemester 2019
DozierendeD. Hangartner, D. Ward
Periodizitätjährlich wiederkehrende Veranstaltung
LehrspracheEnglisch
KommentarNumber of participants limited to 15.

MA Comparative and International Studies are given priority.


KurzbeschreibungThis course provides an introduction to statistical methods used for causal inference in the social sciences, covering both experimental and observational studies.
LernzielFamiliarity with the key research designs and statistical methods used for causal inference from randomised and observational data.
InhaltThis course provides an introduction to statistical methods used for causal inference in the social sciences. Using the potential outcomes framework of causality, we discuss designs and methods for data from randomized experiments and observational studies. In particular, designs and methods covered include randomization, matching, instrumental variables, difference-in-difference, synthetic control, regression discontinuity, and quantile regression. Examples are drawn from the social sciences.
LiteraturAngrist, Joshua D., and Jörn-Steffen Pischke. Mostly harmless econometrics: An empiricist's companion. Princeton university press, 2008.

Rosenbaum, Paul R. Design of Observational Studies. Springer. 2010.
Voraussetzungen / BesonderesMethods III or equivalent