Die Anmeldung endete am 12.10.2026 um 23:59 Uhr.

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.

Weitere Informationen zur Lehrevaluation: https://www.leuphana.de/lehre/qualitaetsmanagement/evaluation/lehrveranstaltungsevaluation.html