Thesis supervision and Teaching
Thesis supervision
Thesis supervision is offered for topics in applied machine learning with applications to development economics and political economy (broadly defined).
Students are expected to use cutting-edge empirical and computational methods in their work.
Teaching
Vorlesungsverzeichnis
| V-Nr | Course | Start / End | Date | Lecturers | Room |
|---|---|---|---|---|---|
| 0688 |
03SEDOEC6124
|
from 14.09.2026
to 14.12.2026
|
Mo 12:00-13:00 | Ingvild Almas Sandro Ambühl Björn Bartling Timo Boppart Lorenzo Casaburi Ana Costa-Ramon Gregory S. Crawford Amanda Dahlstrand David Dorn Maya Eden Christian Ewerhart Ernst Fehr Thomas Graeber Todd Anthony Hare Mathias Hoffmann David Hémous Ronak Jain Damian Kozbur Michel Maréchal Andreas Müller Nick Netzer Ralph Ossa Dina Pomeranz Martina Pons Marek G. Pycia Christian Ruff Florian Scheuer Armin Schmutzler Jakub Steiner Philippe Tobler Carmen Villa Roberto A. Weber Rainer Winkelmann Michael Wolf David Yanagizawa-Drott Josef Zweimüller Ulf Zölitz | |
| 0616 |
03SEDOEC6132
|
from 14.09.2026
to 14.12.2026
|
Mo 13:10-14:10 | Ingvild Almas Lorenzo Casaburi Ronak Jain Dina Pomeranz David Yanagizawa-Drott | |
| 3110 |
03SEDOEC6116
|
from 18.09.2026
to 18.12.2026
|
nach Ankündigung | Hans-Joachim Voth David Yanagizawa-Drott |