Universität Wien

040106 UK Entscheidungs- und Spieltheorie (BA) (2021S)

12.00 ECTS (6.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung
DIGITAL
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 120 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Montag 01.03. 13:15 - 14:45 Digital
  • Dienstag 02.03. 15:00 - 16:30 Digital
  • Donnerstag 04.03. 18:30 - 20:00 Digital
  • Freitag 05.03. 13:15 - 14:45 Digital
  • Montag 08.03. 13:15 - 14:45 Digital
  • Dienstag 09.03. 15:00 - 16:30 Digital
  • Donnerstag 11.03. 18:30 - 20:00 Digital
  • Montag 15.03. 13:15 - 14:45 Digital
  • Dienstag 16.03. 15:00 - 16:30 Digital
  • Donnerstag 18.03. 18:30 - 20:00 Digital
  • Freitag 19.03. 13:15 - 14:45 Digital
  • Montag 22.03. 13:15 - 14:45 Digital
  • Dienstag 23.03. 15:00 - 16:30 Digital
  • Donnerstag 25.03. 18:30 - 20:00 Digital
  • Freitag 26.03. 13:15 - 14:45 Digital
  • Montag 12.04. 13:15 - 14:45 Digital
  • Dienstag 13.04. 15:00 - 16:30 Digital
  • Donnerstag 15.04. 18:30 - 20:00 Digital
  • Freitag 16.04. 13:15 - 14:45 Digital
  • Montag 19.04. 13:15 - 14:45 Digital
  • Dienstag 20.04. 15:00 - 16:30 Digital
  • Donnerstag 22.04. 18:30 - 20:00 Digital
  • Freitag 23.04. 13:15 - 14:45 Digital
  • Montag 26.04. 13:15 - 14:45 Digital
  • Dienstag 27.04. 15:00 - 16:30 Digital
  • Donnerstag 29.04. 18:30 - 20:00 Digital
  • Freitag 30.04. 13:15 - 14:45 Digital
  • Montag 03.05. 13:15 - 14:45 Digital
  • Dienstag 04.05. 15:00 - 16:30 Digital
  • Donnerstag 06.05. 18:30 - 20:00 Digital
  • Freitag 07.05. 13:15 - 14:45 Digital
  • Montag 10.05. 13:15 - 14:45 Digital
  • Dienstag 11.05. 15:00 - 16:30 Digital
  • Freitag 14.05. 13:15 - 14:45 Digital
  • Montag 17.05. 13:15 - 14:45 Digital
  • Dienstag 18.05. 15:00 - 16:30 Digital
  • Donnerstag 20.05. 18:30 - 20:00 Digital
  • Freitag 21.05. 13:15 - 14:45 Digital
  • Donnerstag 27.05. 18:30 - 20:00 Digital
  • Freitag 28.05. 13:15 - 14:45 Digital
  • Montag 31.05. 13:15 - 14:45 Digital
  • Dienstag 01.06. 15:00 - 16:30 Digital
  • Freitag 04.06. 13:15 - 14:45 Digital
  • Montag 07.06. 13:15 - 14:45 Digital
  • Dienstag 08.06. 15:00 - 16:30 Digital
  • Donnerstag 10.06. 18:30 - 20:00 Digital
  • Freitag 11.06. 13:15 - 14:45 Digital
  • Montag 14.06. 13:15 - 14:45 Digital
  • Dienstag 15.06. 15:00 - 16:30 Digital
  • Donnerstag 17.06. 18:30 - 20:00 Digital
  • Freitag 18.06. 13:15 - 14:45 Digital
  • Montag 21.06. 13:15 - 14:45 Digital
  • Dienstag 22.06. 15:00 - 16:30 Digital
  • Donnerstag 24.06. 18:30 - 20:00 Digital
  • Freitag 25.06. 13:15 - 14:45 Digital
  • Montag 28.06. 13:15 - 14:45 Digital
  • Dienstag 29.06. 15:00 - 16:30 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

FORMAT: all teaching will take place remotely. There will be live lectures which students should attend so they can participate actively, and live tutorials to discuss the problem sets.

Lectures are on Monday 13.15-14.45 and Tuesday 15.00 – 16.30 on Blackboard Collaborate (link on Moodle).

Tutorials are on Thursday 18.30-20.00 and Friday 13.15 – 14.45.

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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

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.

Mindestanforderungen und Beurteilungsmaßstab

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

Prüfungsstoff

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

EASTER BREAK

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 (3 May 2021)

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: signaling

Week 13: Dynamic Bayesian games 4: signaling and communication

Week 14: Final Exam (28 June 2021)

Literatur

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.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Fr 12.05.2023 00:12