Registration does not begin until 02.10.2026 at 08:00. It ends on 12.10.2026 at 23:59.

The registration is restricted to the following fields or courses of study:

• Leuphana Bachelor / Major Economics / alle Semester
• Leuphana Bachelor / Major Studium Individuale / alle Semester
• Leuphana Bachelor / Minor Studium Individuale / alle Semester

This course covers essential methods used in applied causal analysis:

1. Causal analysis of experimental data
2. Probability models for binary outcomes
3. Instrumental variables estimation
4. Fixed-effects estimation on panel data
5. Differences-in-differences estimation

In the first step, the course introduces each method focussing on its correct implementation and interpretation. In the second step, each method is applied to a specific research question from empirical economics using real-world data sets and Stata:

1. Effect of class size on student achievement
2. Discrimination against black job applicants
3. Rate of return to education
4. Effect of wages on individual labour supply
5. Effect of police presence on crime

Students not only learn how to apply the methods appropriately and about their strengths and weaknesses, but also acquire the relevant skills to conduct own empirical analyses based on these methods and to reflect their findings and communicate them in a scientific way.

Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/evaluation/course-evaluation.html