Universität Wien
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040106 UK UK Decision and Game Theory (BA) (2022S)

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

Studierende des Bachelorstudiums Betriebswirtschaft, welche die beiden Berufsfelder Banking and Finance und Ökonomie absolvieren,
können diesen Kurs anstelle der Kurse UK Entscheidungstheorie (4 ECTS) und eines Kurses aus Ökonometrie (8 ECTS) absolvieren.
Diese Regelung gilt nicht, wenn nur das Berufsfeld Banking and Finance absolviert wird.
In diesem Fall ist dieser Kurs nicht im Rahmen der Pflichtfächer des Moduls C1.4 Banking and Finance wählbar!
Für weitere Informationen siehe:
https://finance.univie.ac.at/studium/finanzwirtschaft-im-bachelor/information-fuer-studierende/
Moodle

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. 120 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 02.03. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 03.03. 08:00 - 09:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 03.03. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 09.03. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 09.03. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 10.03. 08:00 - 09:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 10.03. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 16.03. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 16.03. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 17.03. 08:00 - 09:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 17.03. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 23.03. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 23.03. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 24.03. 08:00 - 09:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 24.03. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 30.03. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 30.03. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 31.03. 08:00 - 09:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 31.03. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 06.04. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 06.04. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 07.04. 08:00 - 09:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 07.04. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 27.04. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 27.04. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 28.04. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 04.05. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 04.05. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 05.05. 08:00 - 09:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 05.05. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 11.05. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 11.05. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 12.05. 08:00 - 09:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 12.05. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 18.05. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 18.05. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 19.05. 08:00 - 09:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 19.05. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 25.05. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 25.05. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 01.06. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 01.06. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 02.06. 08:00 - 09:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 02.06. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 08.06. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 08.06. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 09.06. 08:00 - 09:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 09.06. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 15.06. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 15.06. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 22.06. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 22.06. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 23.06. 08:00 - 09:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 23.06. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 29.06. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Wednesday 29.06. 18:30 - 20:00 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 30.06. 16:45 - 18:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

[UPDATE 05.04.2022]: The lectures will take place online starting from the 06.04.2022.

FORMAT: teaching will take place in person but could be moved online at short notice depending on the situation. Teaching takes the form of lectures to discuss the course material and tutorials to discuss the problem sets. Students are expected to attend and participate actively in both.

Lectures are on Wednesdays 18:30 -20:00 (HS7) and Thursdays 08:00 -09:30 (HS1).

Tutorials are on Tuesdays 15:00 -16:30 (Seminarraum 16) and Wednesdays 11:30 -13:00 (Hörsaal 9). Note that tutorials only start in the second week (08.03.2022). Please ignore the first two dates in the teaching schedule.

Lectures and tutorials will be recorded. There will be problem sets to be submitted every week on Moodle and that will count towards your final grade. All official communication on the course will be done via email or Moodle.

CONTENT: This course builds upon and extends the required second-year microeconomics course (040102 UK). It goes beyond the study of simple choices by consumers and firms by exploring how economic agents make decisions in more complex environments.

In decision theory we will study the behaviour of individual agents facing uncertainty. For instance, investors need to choose how to invest when they don't know whether stock markets will produce positive or negative returns, firms need to decide how much quantity to produce when they don't know whether a recession is coming or not.

Game theory studies the behaviour of agents who interact with other agents. For example, firms decide whether to enter a new market by anticipating how their competitors will react. Workers decide how to cooperate with others by anticipating how this will affect their reputations.

All theoretical concepts will be discussed in the context of many different applications.

Assessment and permitted materials

There will be one midterm exam and one final exam, which account for 40% and 50% of the grade, respectively. The remaining 10% is obtained by handing in problem sets. Students wishing to do so will be offered a re-take final exam. Note that in case a retake is requested the grade on the final exam will be cancelled and replaced by the grade on the retake exam. As a result, a retake can result in the final grade going either up or down.

Minimum requirements and assessment criteria

Students are required to have taken Microeconomics for Student of Economics.

Examination topics

Week 1: Introduction to game theory: questions and concepts.

Week 2: Decisions under Uncertainty

Week 3: Static games 1: strategies, best responses, Nash equilibrium

Week 4: Static games 2: Mixed strategy Nash equilibrium, dominated strategies

Week 5: Dynamic games 1: Subgame perfect equilibrium, credible and non-credible threats

Week 6: Dynamic games 2: commitment, pre-emption, first mover advantage

Week 7: Dynamic games 3: finitely and infinitely repeated games

Week 8: Midterm Exam (Date TBC)

Week 9: Bayesian games

Week 10: Dynamic Bayesian games 1: moral hazard

Week 11: Dynamic Bayesian games 2: adverse selection

Week 12: Dynamic Bayesian games 3: screening and signaling

Week 13: Final Exam on 29.06.2022 18.30 - 20.00

Reading list

The main reference for the course material should always be the lecture notes (available on Moodle). However, if students would like to supplement lectures with additional material, the recommended textbook is: An introduction to game theory, by Martin Osborne. Another useful reference (especially for the second part of the course) is Games and Information: An Introduction to Game Theory, by Eric Rasmusen. Both books are available in the library, so there is no need to purchase them.

Association in the course directory

Last modified: Su 29.05.2022 17:27