Advanced Regression Models - Einzelansicht

This seminar teaches the statistical foundations and practical applications of advanced regression models. Subsequently, to identify limitations of the classic OLS estimator, we focus on the General Linear Model with various link functions, Random Effects (a.k.a. Multilevel) models, Fixed Effects and Difference-in-Differences models, as well as Structural Equation Modeling. In addition to the technicalities, participants will learn how to deal in practice with these tools using real data examples in R. Participants will also have the possibility to discuss their own projects.

Knowledge of basic linear regression is useful, but not a prerequisite. The course will be held in English.

MA students register via LSF. Doctoral students should register directly with me via conrad.ziller@uni-due.de

To pass the course (and earn credits), participants are required to (1) actively participate in the course, (2) conduct their own data analysis using advanced regression models, and (3) document their methodological approach and empirical results.