Universität Wien

040294 UK Econometrics and Causal Inference (BA) (2019W)

Track in Data Analysis

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

  • Wednesday 09.10. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 10.10. 15:00 - 16:30 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 16.10. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 17.10. 15:00 - 16:30 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 23.10. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 24.10. 15:00 - 16:30 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 30.10. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 31.10. 15:00 - 16:30 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 06.11. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 07.11. 15:00 - 16:30 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 13.11. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 14.11. 15:00 - 16:30 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 20.11. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 21.11. 15:00 - 16:30 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 27.11. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 28.11. 15:00 - 16:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 04.12. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 05.12. 15:00 - 16:30 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 11.12. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 12.12. 15:00 - 16:30 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 08.01. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 09.01. 15:00 - 16:30 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 15.01. 11:30 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 16.01. 15:00 - 16:30 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 22.01. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 23.01. 15:00 - 16:30 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 29.01. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 30.01. 15:00 - 16:30 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

The aim of this course is to help you to understand modern applied econometric methods and to foster the skills needed to plan and execute your own empirical projects. Topics include randomized trials, regression, 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

Exam: 34%. Homework 33%. Class participation 33%.

By class participation I do not mean showing up in class, instead I mean engaging actively in the lecture.

Minimum requirements and assessment criteria

Assessment is based on one open-book exam, homework and participation in class.

Examination topics

All the material covered in class will be relevant for the exams.

Reading list

J. Angrist and J.S. Pischke, Mastering ‘Metrics: The Path from Cause to Effect, Princeton
University Press, 2014. http://masteringmetrics.com/

Association in the course directory

Last modified: Mo 07.09.2020 15:19