Universität Wien

040294 UK Econometrics and Causal Inference (BA) (2017W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Lecturer: Omar Bamieh
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 03.10. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 10.10. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 17.10. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 31.10. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 03.11. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 07.11. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 14.11. 08:00 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 21.11. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 28.11. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 05.12. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 12.12. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 09.01. 15:00 - 18:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 30.01. 13:15 - 16:30 Seminarraum 5 Oskar-Morgenstern-Platz 1 1.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: 50%. Homework 40%. Class Participation 10%.

Minimum requirements and assessment criteria

Assessment is based on two closed-books exams

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 15:29