MAGKS-Workshop "Causal Inference in Applied Econometrics"
- https://www.uni-giessen.de/de/fbz/zentren/ggs/veranstaltungen/index_html/wise2026/causal-inference
- MAGKS-Workshop "Causal Inference in Applied Econometrics"
- 2026-10-05T09:00:00+02:00
- 2026-10-23T12:30:00+02:00
05.10.2026 09:00 bis 23.10.2026 12:30 (Europe/Berlin / UTC200)
Raum tba, Licher Str. 68, 35394 Gießen
Promovierende des MAGKS und GGS aus den Wirtschaftswissenschaften
| Lecturer: | Professor Dr Mirjam Stockburger | |
| Dates: |
Lecture Sessions: October 5 - 7, 2026, 9.00 am - 3.30 pm respectively Presentation Sessions: October 16 & 23, 2026, 9.30 am - 12.30 pm respectively |
|
| Max. number of participants: | 20 | |
| ECTS: | 6 | |
| Registration deadline: |
September 16, 2026 |
Objectives
Many of the big questions in the social sciences (and economics) deal with cause and effect. How does immigration affect pay and employment levels? How does a longer education affect someone’s future income? These questions are difficult to answer because we have nothing to use as a comparison. We do not know what would have happened if there had been less immigration or if that person had not continued studying.
However, the Laureates of the Nobel Prize in Economics in 2021 - David Card, Joshua Angrist, and Guido Imbens - have shown that it is possible to answer these and similar questions using natural experiments. The key is to use situations in which chance events or policy changes result in groups of people being treated differently, in a way that resembles clinical trials in medicine.
If you are curious about how economists can draw plausible conclusions about cause and effect I invite you to join this course. The course covers core methods and seminal applications dealing with causal inference.
We will work though assumptions, diagnostics, practical examples. Moreover, students will present and discuss applications or extensions of such designs with practical examples from recent papers.
Participation is possible for MAGKS and GGS members.
Further information is available in the syllabus "Causal Inference in Applied Econometrics".