Universität Wien
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040295 UK Causal Inference (MA) (2021S)

Track in Data Analysis and Policy Evaluation - Applied Causal Inference: how to answer interesting questions using data

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
REMOTE
Moodle

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).

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/

Association in the course directory

Last modified: Fr 12.05.2023 00:12