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040827 UK Game Theory and Information Economics (MA) (2021S)

12.00 ECTS (6.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
REMOTE

There is a lecture held by me and a tutorial held by Philipp Peitler (email: philipp.peitler@univie.ac.at). The tutorials are practice sessions relating the material of my lecture. Practice sessions are held on Mondays, the lectures are on Tuesdays and Wednesdays.

Since we will discuss advanced topics, it is expected that you have taken an undergraduate game theory course. If this is not the case, we strongly advise you to take the bachelor's course first (040106 UK Entscheidungs- und Spieltheorie (BA) with Maarten Janssen).
Alternatively, you can prepare by studying chapters 2, 3, 5 and 7 from the book 'An Introduction to Game Theory' by Kokesen & Ok (2007).

In any case, try to solve the following problem set as a self assessment to see whether you are fit for this course.
https://www.dropbox.com/s/85j6nfgfey9zts1/game_theory_PS0_2019.pdf?dl=0

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first serve).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Monday 01.03. 09:45 - 11:15 Digital
Tuesday 02.03. 11:30 - 13:00 Digital
Wednesday 03.03. 09:45 - 11:15 Digital
Monday 08.03. 09:45 - 11:15 Digital
Tuesday 09.03. 11:30 - 13:00 Digital
Wednesday 10.03. 09:45 - 11:15 Digital
Monday 15.03. 09:45 - 11:15 Digital
Tuesday 16.03. 11:30 - 13:00 Digital
Wednesday 17.03. 09:45 - 11:15 Digital
Monday 22.03. 09:45 - 11:15 Digital
Tuesday 23.03. 11:30 - 13:00 Digital
Wednesday 24.03. 09:45 - 11:15 Digital
Monday 12.04. 09:45 - 11:15 Digital
Tuesday 13.04. 11:30 - 13:00 Digital
Wednesday 14.04. 09:45 - 11:15 Digital
Tuesday 20.04. 11:30 - 13:00 Digital
Wednesday 21.04. 09:45 - 11:15 Digital
Monday 26.04. 09:45 - 11:15 Digital
Tuesday 27.04. 11:30 - 13:00 Digital
Wednesday 28.04. 09:45 - 11:15 Digital
Monday 03.05. 09:45 - 11:15 Digital
Tuesday 04.05. 11:30 - 13:00 Digital
Wednesday 05.05. 09:45 - 11:15 Digital
Monday 10.05. 09:45 - 11:15 Digital
Tuesday 11.05. 11:30 - 13:00 Digital
Wednesday 12.05. 09:45 - 11:15 Digital
Monday 17.05. 09:45 - 11:15 Digital
Tuesday 18.05. 11:30 - 13:00 Digital
Wednesday 19.05. 09:45 - 11:15 Digital
Wednesday 26.05. 09:45 - 11:15 Digital
Monday 31.05. 09:45 - 11:15 Digital
Tuesday 01.06. 11:30 - 13:00 Digital
Wednesday 02.06. 09:45 - 11:15 Digital
Monday 07.06. 09:45 - 11:15 Digital
Tuesday 08.06. 10:00 - 11:30 Digital
Wednesday 09.06. 09:45 - 11:15 Digital
Monday 14.06. 09:45 - 11:15 Digital
Tuesday 15.06. 11:30 - 13:00 Digital
Monday 21.06. 09:45 - 11:15 Digital
Tuesday 22.06. 11:30 - 13:00 Digital
Wednesday 23.06. 09:45 - 11:15 Digital
Monday 28.06. 09:45 - 11:15 Digital
Tuesday 29.06. 11:30 - 13:00 Digital

Information

Aims, contents and method of the course

The objective of this course is to learn how to master game theory and how to apply it to modelling information. Game theory is the theory of making decisions when outcomes are influenced by others making decisions. Games will be played in class to help gain intuition. There will be real life examples (such as auctions, market entry, public good provision) but the main emphasis is on the methodology, the mathematics of strategic decision making. Information Economics brings in the aspects of how to make strategic choices when there is uncertainty.
Game theory topics we will be covering include
1. Utility, uncertainty, risk, decision making and rationality
2. Games, strategies and timing
3. Dominance, iterated dominance, rationalizability
4. Extensive form games with perfect information, backwards induction
5. Nash equilibrium
6. Subgame perfection, forward induction
7. Repeated games, folk theorem
8. Bayesian games
Information Economics topics we will be covering include
1. Moral hazard
2. Adverse selection

Assessment and permitted materials

There will be a midterm and a final exam. Each will count 35% of the grade, the remaining 30% will be the homeworks. There may also be a short written assignment over the easter break that counts as part of the homeworks. Some homeworks may be submitted in groups of two, other homeworks have to be worked on alone. The specific rules are described on each homework assignment sheet. No copying homeworks of others. If you only want a separate grade for the exercises, you need special permission from the vice dean of studies. These students may not submit the homeworks in groups, will be given a shorter midterm and final exam. Their homeworks count 2/3 of the grade, the midterm and final only 1/3.

Students wishing to do so, will be offered a "makeup possibility” for the final exam. The date for this makeup will be in September. This makeup exam will be counted instead of the final, hence the grade can be improved and worsened.

Minimum requirements and assessment criteria

In both exams you may use your hand written course notes. The course is passed if sufficiently many points are gathered that identify that the participant has attained a minimal understanding of the material.

Mid-Term: Monday, April 19, 15.00 - 18.15 h
End-Term: Thursday, July 1, 09.45 - 13.00 h

Students wishing to do so, will be offered a "makeup possibility” for the final exam. The date for this makeup will be in September. This makeup exam will be counted instead of the final, hence the grade can be improved and worsened.

Examination topics

The topics are listed in the paragraph on aims, contents and methods of the course.

Reading list

Kokesen, L. and E. Ok. 2007. An Introduction to Game Theory. Online lecture notes
https://sites.google.com/view/lkockesen/home/teaching/undergraduate-game-theory?authuser=0
Fudenberg, D. and J. Tirole. 1991. Game Theory. MIT Press
Mas-Colell, A., M.D. Whinston and J.R. Green. 1995. Microeconomic Theory. Oxford University Press (only selected chapters)
Osborne Rubinstein book:
http://ebour.com.ar/pdfs/A%20Course%20in%20Game%20Theory.pdf

Association in the course directory

Last modified: Mo 21.06.2021 09:27