040295 UK Causal Inference (MA) (2020S)
Track in Data Analysis and Policy Evaluation - Applied Causal Inference: how to answer interesting questions using data
Continuous assessment of course work
Labels
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 Mo 10.02.2020 09:00 to We 19.02.2020 12:00
- Registration is open from Tu 25.02.2020 09:00 to We 26.02.2020 12:00
- Deregistration possible until Th 30.04.2020 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 03.03. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 04.03. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 10.03. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 11.03. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 17.03. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 18.03. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 24.03. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 25.03. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 31.03. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 01.04. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 21.04. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 22.04. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 28.04. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 29.04. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 05.05. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 06.05. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 12.05. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 13.05. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 19.05. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 20.05. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 26.05. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 27.05. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 03.06. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 09.06. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 10.06. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 16.06. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 17.06. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 23.06. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Wednesday 24.06. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 30.06. 09:45 - 11:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
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: Mo 07.09.2020 15:19