PULS
Foto: Matthias Friel
The seminar covers both, fundamental and advanced statistical techniques for causal inference from observational data. It starts by replicating the counterfactual concept of causality and its links to regression coefficients. It then discusses the possibilities (and limitations) of estimating causal effects by means of covariate adjustment. Finally, the seminar introduces techniques to deal with unobserved (or unobservable) heterogeneity. More specifically the seminar covers the following statistical techniques: multiple regressions, exact matching, coarsened exact matching, fixed effects panel regression, instrumental variable regression, and regression discontinuity models. Thereby, the seminar aims at introducing the methods' conceptional ideas and assumptions.
Angrist, J. D. & Pischke, J.-S. (2009) Mostly harmless econometrics. Princeton University Press.
Winship, C. & Morgan, S. (1999) The Estimation of Causal Effects from Observational Data. Annual Review of Sociology, 25, 659-707.
The seminar assumes knowledge of the materials covered in the module "MPMSOZ10: Methoden der empirischen Sozialforschung".
For passing: regular homworks (>75%)
Module examination: Seminar paper (Replication of a published paper with a different method)
Anmelde- und Rücktrittsfrist in PULS für die Modulabschlussprüfung: 19.04. - 29.09.2023
Master level students of Sociology, Political Science, and Administration
© Copyright HISHochschul-Informations-System eG