Registration ends 07.4.2026 at 23:59 h

The course aims to introduce students to empirical research methods and applied data analysis. It will help participants to better understand common empirical research designs frequently applied in the field social sciences. Specifically, the course discusses how these methods are used in top-tier research papers and provides an introduction on how to apply the discussed methods to real-world archival data using statistical software. The first part of the course reviews econometric fundamentals and introduces students to the widely used statistical software STATA (available via a Campus license). In the second part of the course the focus will be on endogeneity issues, causal inference, and empirical identification strategies. The course is well suited for students who want to work with archival data in future research projects or during their master thesis. Participants should have at least a basic knowledge in statistics. However, this course will not resemble the statistics courses students might have taken. Instead, the course is designed to be more hands-on and discussion-oriented.

The goal is to demystify the key concepts and fundamentals of modern empirical analysis, to provide practical skills, and to encourage students to develop their own empirical research projects.

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