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040211 UK Quantitative Methods in Industrial Organization and Competition Policy (MA) (2023S)
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 13.02.2023 09:00 to We 22.02.2023 12:00
- Registration is open from Mo 27.02.2023 09:00 to Tu 28.02.2023 12:00
- Deregistration possible until Fr 17.03.2023 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 07.03. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 08.03. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 14.03. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
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Wednesday
15.03.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 21.03. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
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Wednesday
22.03.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 28.03. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
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Wednesday
29.03.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 18.04. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
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Wednesday
19.04.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 25.04. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
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Wednesday
26.04.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 02.05. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 03.05. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 09.05. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
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Wednesday
10.05.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 16.05. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Wednesday
17.05.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 23.05. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Wednesday
24.05.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß -
Wednesday
31.05.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 06.06. 09:45 - 11:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
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Wednesday
07.06.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 13.06. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
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Wednesday
14.06.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 20.06. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
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Wednesday
21.06.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 27.06. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
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Wednesday
28.06.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Information
Aims, contents and method of the course
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).
• 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: Th 29.06.2023 09:26
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, 9:45-11:15) and computer lab sessions (Thursdays, 11:30-13:00). 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
Esitmation 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