Lehrende: Prof. Dr. Martin Spindler
Veranstaltungsart: Seminar
Anzeige im Stundenplan: 87-055
Semesterwochenstunden: 2
Credits: 5,0
Unterrichtssprache: Englisch
Min. | Max. Teilnehmerzahl: - | 30
Weitere Informationen: Iintroduction to causal inference, and if time allows to recent developments, in particular on the use of Machine Learning Methods for Causal Inference. Handouts of the slides will be provided during the course. The target audience are empirical researcher / PhD students who want to apply those methods for their research.
Lernziel: 1) Introduction to Causal Inference / Basic Framework 2) Methods for Causal Inference (Diff-in-Diff, IV, Propensity Score Matching, Randomized Control Trials, …) 3) Recent Developments
Literatur: see https://www.bwl.uni-hamburg.de/en/forschung/promotion.html#19514876
Zusätzliche Hinweise zu Prüfungen: Student evaluation: Presentation of a recent paper in a blocked session (Summer Term 2024) or presentation / written summary of a research project / idea