| Description |
This seminar focuses on acquiring profound knowledge in quantitative empirical research and advanced statistical methods and is aimed at graduate and PhD students in political science. It focuses on procedures that are frequently used in comparative political science as well as international relations, such as linear and non-linear (conditional and polynomial) regression, survival analysis, and time-series cross-section models. Additionally, the fundamental principles of estimation methods, interpretation of coefficients, evaluation of model fit, and empirical implications of regression models will be discussed in the seminar. The seminar’s structure alternates sessions of theoretical principles and applications of statistical procedures. We will use Stata for model estimation throughout the seminar and will replicate contemporary studies using the methods discussed in the course. The aim of the seminar is to enable students to conduct quantitative empirical analyses using advanced statistical methods and to facilitate a critical evaluation of empirical studies.
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| Literature |
Hamilton, L. (2012). Statistics with Stata: Version 12. 8th edition, Cengage Learning.
Best, H., and Wolf, C. (Hrsg.) (2015). The SAGE Handbook of Regression Analysis and Causal Inference. 1st edition, Sage.
Wooldridge, J. M. (2013). Introductory Econometrics: A Modern Approach. 5th edition, Cengage Learning. |
