040211 UK Quantitative Methods in Industrial Organization and Competition Policy (MA) (2023S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 13.02.2023 09:00 bis Mi 22.02.2023 12:00
- Anmeldung von Mo 27.02.2023 09:00 bis Di 28.02.2023 12:00
- Abmeldung bis Fr 17.03.2023 23:59
Details
max. 50 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Dienstag 07.03. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 08.03. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Dienstag 14.03. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Mittwoch
15.03.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Dienstag 21.03. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
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Mittwoch
22.03.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Dienstag 28.03. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Mittwoch
29.03.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Dienstag 18.04. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Mittwoch
19.04.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Dienstag 25.04. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Mittwoch
26.04.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Dienstag 02.05. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 03.05. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Dienstag 09.05. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
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Mittwoch
10.05.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Dienstag 16.05. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Mittwoch
17.05.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Dienstag 23.05. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Mittwoch
24.05.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß -
Mittwoch
31.05.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Dienstag 06.06. 09:45 - 11:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
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Mittwoch
07.06.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Dienstag 13.06. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
-
Mittwoch
14.06.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Dienstag 20.06. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Mittwoch
21.06.
08:00 - 09:30
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Dienstag 27.06. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Mittwoch
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
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
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.
Mindestanforderungen und Beurteilungsmaßstab
• 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).
Prüfungsstoff
All the material covered in class will be relevant for the problem sets and the in-class assignment
Literatur
Detailed reading list with research articles on moodle.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Do 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