PhD Course Econometrics


Block course


March 1st – March 3rd, 2021


Zoom (Link will be provided on the course website)

Course instructor:

Professor Martin Spindler (UHH)

Course value:

2 SWS or 4 LP

Course overview:

The main goal of this course is to give an introduction 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.


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

Teaching language:


Student evaluation:

presentation of a recent paper in a blocked session (Summer Term2021) or presentation / written summary of a research project / idea


not required