Universität Wien

040211 UK Quantitative Methods in Industrial Organization and Competition Policy (MA) (2025S)

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

This course is equivalent to "Competition and Regulation: Quantitative Methods (4 SSt, 8 ECTS)" and therefore satisfies part of the requirement for the specialization "Competition and Regulation" of the Master Applied Economics (913 [3]).
Moodle
Tu 29.04. 09:45-11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock

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

This course is equivalent to "Competition and Regulation: Quantitative Methods (4 SSt, 8 ECTS)" and therefore satisfies part of the requirement for the specialization "Competition and Regulation" of the Master Applied Economics (913 [3]).

  • Tuesday 04.03. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 05.03. 08:00 - 09:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 11.03. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 18.03. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 19.03. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 25.03. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 26.03. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 01.04. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 02.04. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 08.04. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 09.04. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Wednesday 30.04. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 06.05. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 07.05. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 13.05. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 14.05. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 20.05. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 21.05. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 27.05. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 28.05. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 03.06. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 04.06. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 10.06. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 11.06. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 17.06. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 18.06. 08:00 - 09:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 24.06. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 25.06. 08:00 - 09:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

This course introduces students to empirical methods in Industrial Organization and Competition Policy. The course will put a substantial amount of effort in having the students work with econometric software in analyzing actual data sets, reproducing and criticizing results in previous work and learning the actual practice of econometrics as undertaken by the best applied economists. There will be empirical exercises based on the readings. They are likely to be computer and data intensive. The class will therefore be consist of lectures (Tuesdays, 9:45-11:15h) and computer lab sessions (Wednesdays, 8:00-9:30h). Students are free to choose the computer programs to work on the exercises, such as R, Stata or similar software.

The aim of the course is that students are able to choose and apply the relevant state-of-the-art empirical technique to analyze a specific question in Industrial Organization and/or Competition Policy.
Main topics to be covered:
Introduction
Demand Estimation
Estimation of Conduct in Homogenous Goods Markets
Estimation of Differentiated Product Demand Systems
Production and Cost Function Estimation
Empirical Models of Entry and Market Structure
Empirical Models of Auctions

This course is equivalent to "Competition and Regulation: Quantitative Methods (4 SSt, 8 ECTS)" and therefore satisfies part of the requirement for the specialization "Competition and Regulation" of the Master Applied Economics (913 [3]).

Assessment and permitted materials

Students are required to do five problem sets (each 15%), and one in-class assignment (25%).

This course is also open to PhD students. If you are a Phd student who wants to take this course, please contact the instructors.

Minimum requirements and assessment criteria

• Attendance is compulsory for the course. Unexcused absence from the first session will automatically lead to deregistration in order to allow students on the waiting list to move up. If you are unable to attend the first session, you must notify me in advance via email in order to continue attending the course.
• Missing more than two 90-minute sessions in total will result in a negative grade. Excuses for absence are not required (with the exception of the first unit).
• For each of six grading components (problem sets, in-class assignment), students can receive between 0 and 100 points. The final number of points is the weighted sum of the six components rounded to one digit. To receive a positive grade, the final number of points has then to be at least 50.1. The grade is 1 (2, 3, 4 and 5), if the final number of points is 87.6-100 (75.1-87.5, 62.6-75, 50.1-62.5 and 0-50).

Examination topics

All the material covered in class will be relevant for the problem sets and the in-class assignment

Reading list

Detailed reading list with research articles on moodle.

Association in the course directory

Last modified: Tu 11.02.2025 08:05