15411
Seminar
SoSe 23: Causal Analysis in Quantitative Political Science
Alexander Libman
Comments
The class offers an introduction into the modern approaches to causal identification in quantitative political science research. Traditional view implying that quantitative work can establish only correlations, and no causal links, has been challenged recently by new research designs allowing scholars to identify causal effects using quantitative data. In this class, we will review these methods (such as appropriate strategies of selecting control variables in regressions, matching, instrumental variables, experiments and regression discontinuity design), as well as discuss their application to the practical problems of political science research. We will use specific examples to train our ability to develop effective research designs. In order to participate in class, you need to have some basic knowledge of regression analysis. close
14 Class schedule
Regular appointments
Tue, 2023-04-18 12:00 - 14:00
Tue, 2023-04-25 12:00 - 14:00
Tue, 2023-05-02 12:00 - 14:00
Tue, 2023-05-09 12:00 - 14:00
Tue, 2023-05-16 12:00 - 14:00
Tue, 2023-05-23 12:00 - 14:00
Tue, 2023-05-30 12:00 - 14:00
Tue, 2023-06-06 12:00 - 14:00
Tue, 2023-06-13 12:00 - 14:00
Tue, 2023-06-20 12:00 - 14:00
Tue, 2023-06-27 12:00 - 14:00
Tue, 2023-07-04 12:00 - 14:00
Tue, 2023-07-11 12:00 - 14:00
Tue, 2023-07-18 12:00 - 14:00