Universität Wien
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040131 UK Introductory Econometrics (BA) (2018W)

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

http://homepage.univie.ac.at/robert.kunst/teaching.html

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. 200 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 01.10. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 02.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 03.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 03.10. 18:30 - 20:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 08.10. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 09.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 10.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 10.10. 18:30 - 20:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 15.10. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 16.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 17.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 17.10. 18:30 - 20:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 22.10. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 23.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 24.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 24.10. 18:30 - 20:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 29.10. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 30.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 31.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 31.10. 18:30 - 20:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 05.11. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 06.11. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 07.11. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 07.11. 18:30 - 20:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 12.11. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 13.11. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 14.11. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 14.11. 18:30 - 20:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 19.11. 18:30 - 20:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 20.11. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 21.11. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 21.11. 18:30 - 20:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

The course provides an introduction to the most common statistical methods that are used in empirical economics. This includes linear regression (ordinary least squares, generalized least squares, instrumental variables) in static and dynamic equations and the corresponding hypothesis tests (restriction tests as well as diagnostic tests). The methods are highlighted in empirical applications in Stata.

Assessment and permitted materials

Assessment is based on two written tests and on homework assignments. The closed-book tests carry weights of 45 % each in the final grade. The homework assignments can be done in groups of up to three persons and carry a weight of 10%. A positive grade requires at least 50 % of the maximum achievable score and attendance at the first written test.

Minimum requirements and assessment criteria

Aims of the module: Participants will have acquired the necessary skills for the analysis of economic data by statistical procedures and for drawing conclusions from the empirical analysis. They are able to apply models derived from economic data to concrete data and to test theory-based hypotheses empirically.

This course provides the theoretical basis, and the tutorial that should be attended following this course provides the hands-on applied skills.

Examination topics

Lecturing, active participation and discussion

Reading list

Jeffrey M. Wooldridge: Introductory Econometrics (South-Western, 4th edition)

Association in the course directory

Last modified: Mo 07.09.2020 15:28