Matching Methods for Causal Inference (MAD)
Kurs-Nr.: 080 391 | Zeit: Mo 10-12 | Raum: GCFW 05/506 CIP-Insel | Semester: WiSe 2014/2015
Participants should have a good understanding of descriptive and inferential statistics and some working knowledge of regression analysis. Please note that the course is taught in English.
The course will enable participants to think more clearly about causal relationships and ways to approach these using specific quantitative methods. We will start by discussing the concept of causality as it is commonly understood in the social sciences and introduce the potential outcome model. We then go on treating different kind of matching estimators that – under special circumstances – enable one to estimate well defined causal effects. In particular we will consider propensity score matching and Mahalanobis metric matching. Throughout the course we will work with the statistical software Stata.
„Modulprüfung“: active participation, oral presentation or summary of an academic paper applying matching methods and final analysis.
„Studiennachweis“: active participation and oral presentation or summary of an academic paper applying matching methods.
- Morgan, Stephen L.; Winship, Christopher (2007): Counterfactuals and causal inference. Methods and principles for social research. New York: Cambridge University Press.
- Guo, Shenyang; Fraser, Mark W. (2010): Propensity score analysis. Statistical methods and applications. Thousand Oaks, Calif: Sage Publications.