040265 UK Empirical Methods in Antitrust (BA) (2019S)
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 11.02.2019 09:00 to We 20.02.2019 12:00
- Deregistration possible until Th 14.03.2019 23:59
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Monday 04.03. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 11.03. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 13.03. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 18.03. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 20.03. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 25.03. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 27.03. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 01.04. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 03.04. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 08.04. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 10.04. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 29.04. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 06.05. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 08.05. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 13.05. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 20.05. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 22.05. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 27.05. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 29.05. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 03.06. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 05.06. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 12.06. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 17.06. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 19.06. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 24.06. 15:00 - 16:30 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 26.06. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Information
Aims, contents and method of the course
Assessment and permitted materials
Assessment will be based on class participation (10%), three problem sets (each 20%) and a final exam (30%). To receive a positive grade, students have to achieve 50 out of 100 points. Students are required to do one presentation, provide a term paper, write a take home final and participate actively in class.
Minimum requirements and assessment criteria
50 % of the requirements
Examination topics
Reading list
Selected chapters from Davis, Peter, and Eliana Garces (2010): Quantitative Techniques for Competition and Antitrust Analysis, Princeton University Press.
Association in the course directory
Last modified: Mo 07.09.2020 15:29
Aim: The aim of this course is to expand students' knowledge of advances in the field of industrial organization and competition economics at the bachelor level. A particular emphasis is put on empirical applications and the discussion of papers. This course provides lectures on the empirical implantation of price and demand models. The lectures are supplemented with empirical studies to learn how to apply these models to real world situations. The topics are discussed in the context of antitrust cases such as assessments of market power, definition of markets, merger analysis and calculation of damages.Learning Goals: After taking the course students should also be able to read and understand how to estimate price and demand models and how these models can be used in competition and antitrust cases. Graduates should be also able to read and understand project reports and journal articles that make use of the concepts and methods that are introduced in the course. Students should also learn how to apply empirical concepts in competition economics and antitrust to real world cases. Students should further extend their ability to effectively structure and communicate economic content in written form to audiences from academia, government and business.Method: The course will be taught through a combination of lectures, problem sets presented by students and discussions. Students are asked to solve three problem sets and to write a final exam. The problem sets will include the analysis of actual data sets and replications of previous work. Students should make sure to have access to the relevant computer programs such as Stata or similar software.