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 |
|---|---|---|---|---|---|
| 0659 |
03SEDOEC6132
|
from 16.02.2026
to 18.05.2026
|
Mo 13:10-14:10, bis 18.5. | Ingvild Almas Lorenzo Casaburi Ronak Jain Dina Pomeranz David Yanagizawa-Drott | |
| 0765 |
03SEDOEC6124
|
from 16.02.2026
to 18.05.2026
|
Mo 12:15-13:15, bis 18.5. | 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 Ronak Jain Damian Kozbur Andreas Müller Nick Netzer Ralph Ossa Dina Pomeranz Martina Pons Marek G. Pycia Florian Scheuer Armin Schmutzler Jakub Steiner Philippe Tobler Carmen Villa Hans-Joachim Voth Roberto A. Weber Rainer Winkelmann Ulrich Woitek Michael Wolf David Yanagizawa-Drott Josef Zweimüller Ulf Zölitz | |
| 4927 |
03VLDOEC1257
|
from 16.02.2026
to 30.03.2026
|
Mo 08:00-12:00, bis 30.3. | David Yanagizawa-Drott |