857-0102-00L  Methods IV: Causal Inference

SemesterSpring Semester 2019
LecturersD. Hangartner, D. Ward
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber of participants limited to 15.

MA Comparative and International Studies are given priority.


AbstractThis course provides an introduction to statistical methods used for causal inference in the social sciences, covering both experimental and observational studies.
ObjectiveFamiliarity with the key research designs and statistical methods used for causal inference from randomised and observational data.
ContentThis 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.
LiteratureAngrist, 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.
Prerequisites / NoticeMethods III or equivalent