Syllabus
Registration via LPIS
Day | Date | Time | Room |
---|---|---|---|
Tuesday | 12/04/18 | 12:00 PM - 02:30 PM | D3.0.218 |
Friday | 12/07/18 | 09:00 AM - 12:00 PM | TC.5.12 |
Tuesday | 12/11/18 | 09:00 AM - 11:30 AM | TC.5.14 |
Friday | 12/14/18 | 09:00 AM - 12:00 PM | TC.5.12 |
Tuesday | 12/18/18 | 09:00 AM - 11:30 AM | D3.0.222 |
Tuesday | 12/18/18 | 12:00 PM - 03:00 PM | TC.5.16 |
Friday | 12/21/18 | 09:00 AM - 12:00 PM | TC.5.12 |
Tuesday | 01/15/19 | 09:00 AM - 05:30 PM | TC.5.16 |
Tuesday | 01/22/19 | 09:00 AM - 11:30 AM | TC.5.14 |
Friday | 01/25/19 | 09:00 AM - 12:00 PM | TC.5.12 |
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.
The attendance requirement is met, if a student is present at least 80%. Therefore, students are allowed to be absent for up to two classes.
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%
Knowledge of intermediate microeconomic theory, calculus (optimization), basic probability theory
Back