040295 UK Causal Inference (MA) (2021S)
Track in Data Analysis and Policy Evaluation - Applied Causal Inference: how to answer interesting questions using data
Continuous assessment of course work
Labels
REMOTE
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 11.02.2021 09:00 to Mo 22.02.2021 12:00
- Registration is open from Th 25.02.2021 09:00 to Fr 26.02.2021 12:00
- Deregistration possible until We 31.03.2021 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 02.03. 09:45 - 11:15 Digital
- Wednesday 03.03. 11:30 - 13:00 Digital
- Tuesday 09.03. 09:45 - 11:15 Digital
- Wednesday 10.03. 11:30 - 13:00 Digital
- Tuesday 16.03. 09:45 - 11:15 Digital
- Wednesday 17.03. 11:30 - 13:00 Digital
- Tuesday 23.03. 09:45 - 11:15 Digital
- Wednesday 24.03. 11:30 - 13:00 Digital
- Tuesday 13.04. 09:45 - 11:15 Digital
- Wednesday 14.04. 11:30 - 13:00 Digital
- Tuesday 20.04. 09:45 - 11:15 Digital
- Wednesday 21.04. 11:30 - 13:00 Digital
- Tuesday 27.04. 09:45 - 11:15 Digital
- Wednesday 28.04. 11:30 - 13:00 Digital
- Tuesday 04.05. 09:45 - 11:15 Digital
- Wednesday 05.05. 11:30 - 13:00 Digital
- Tuesday 11.05. 09:45 - 11:15 Digital
- Wednesday 12.05. 11:30 - 13:00 Digital
- Tuesday 18.05. 09:45 - 11:15 Digital
- Wednesday 19.05. 11:30 - 13:00 Digital
- Wednesday 26.05. 11:30 - 13:00 Digital
- Tuesday 01.06. 09:45 - 11:15 Digital
- Wednesday 02.06. 11:30 - 13:00 Digital
- Tuesday 08.06. 09:45 - 11:15 Digital
- Wednesday 09.06. 11:30 - 13:00 Digital
- Tuesday 15.06. 09:45 - 11:15 Digital
- Wednesday 16.06. 11:30 - 13:00 Digital
- Tuesday 22.06. 09:45 - 11:15 Digital
- Wednesday 23.06. 11:30 - 13:00 Digital
- Tuesday 29.06. 09:45 - 11:15 Digital
- Wednesday 30.06. 11:30 - 13:00 Digital
Information
Aims, contents and method of the course
This course covers empirical strategies for applied research. Topics include regression and matching, differences-in-differences, instrumental variables and regression-discontinuity designs. This is an “applied-empirical” course, meaning that priority will be given to concrete applications rather than to formal derivation of the econometrics methods used in the applications.
Assessment and permitted materials
Final exam: 33%. Project 33%. Presentation in class 33%. Participation in class 1%.
Minimum requirements and assessment criteria
Assessment is based on an open-book exam, a take home simulation exercise and a presentation of a paper in class.
Examination topics
All the material covered in class will be relevant for the exams.
Reading list
J.D. Angrist and J.S. Pischke, Mostly Harmless Econometrics: An Empiricist’s Companion, Princeton
University Press, 2009. http://www.mostlyharmlesseconometrics.com/
University Press, 2009. http://www.mostlyharmlesseconometrics.com/
Association in the course directory
Last modified: Fr 12.05.2023 00:12