Syllabus
Title
0843 Game Theory
Instructors
Dr. Monika Köppl-Turyna
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
11/27/17 to 12/01/17
Registration via LPIS
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day | Date | Time | Room |
---|---|---|---|
Monday | 12/04/17 | 09:00 AM - 11:00 AM | TC.3.10 |
Wednesday | 12/06/17 | 09:00 AM - 11:00 AM | TC.3.07 |
Monday | 12/11/17 | 09:00 AM - 11:00 AM | TC.3.10 |
Wednesday | 12/13/17 | 09:00 AM - 11:00 AM | TC.3.07 |
Monday | 12/18/17 | 09:00 AM - 01:00 PM | TC.5.04 |
Wednesday | 12/20/17 | 09:00 AM - 11:30 AM | TC.4.04 |
Monday | 01/15/18 | 09:00 AM - 11:00 AM | TC.3.10 |
Wednesday | 01/17/18 | 09:00 AM - 11:00 AM | TC.3.07 |
Monday | 01/22/18 | 09:00 AM - 11:00 AM | TC.3.10 |
Wednesday | 01/24/18 | 09:00 AM - 11:00 AM | TC.3.07 |
1. Static games of complete information: normal form games; IESDS; Nash equilibrium in pure and mixed strategies; existence of Nash equilibrium
2. Applications of static games: Cournot model of duopoly; Bertrand model of duopoly; the problem of the commons
3. Dynamic games of complete and perfect information: backwards induction; Stackelberg model of duopoly; sequential bargaining
4. Dynamic games of complete but imperfect information: subgame perfection; finitely repeated games; infinitely repeated games and folk theorem;
5. Bayesian games: Bayesian Nash equilibrium; incentive compatibility; the revelation principle
By the end of the semester students will:
1. understand the subject and applications of static and dynamic games.
2. be able to solve game-theoretical problems using conceptual, analytical and graphical methods.
3. be able to formulate economic problems in a form of a game.
4. be able to apply their knowledge to real-life economic phenomena.
1. understand the subject and applications of static and dynamic games.
2. be able to solve game-theoretical problems using conceptual, analytical and graphical methods.
3. be able to formulate economic problems in a form of a game.
4. be able to apply their knowledge to real-life economic phenomena.
The course will be mainly held in a form of a lecture, using PDF-slides (which will be made available for the students to download). Additionally, there will be two to three problem-solving sessions and homeworks, which will be evaluated as part of the activity grade.
1. A midterm exam - 30%
2. A final exam at the end of the semester - 50%
3. Activity in class incl. homeworks - 20%
2. A final exam at the end of the semester - 50%
3. Activity in class incl. homeworks - 20%
Knowledge of intermediate microeconomic theory, calculus (optimization), basic probability theory
Last edited: 2017-05-09
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