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Course module: 310157-M-3
310157-M-3
Methods: Game Theory 2
Course info
Course module310157-M-3
Credits (ECTS)3
CategoryMA (Master)
Course typeCourse
Language of instructionEnglish
Offered byTilburg University; Tilburg School of Economics and Management; TiSEM: Economics; Economics;
Is part of
M Economics
Contact persondr. F. Schütt
Lecturer(s)
Lecturer
dr. F. Schütt
Other course modules lecturer
Coordinator course
dr. F. Schütt
Other course modules lecturer
Academic year2019
Starting block
SM 1
Course mode
Full-time
Remarks-
Registration openfrom 19/08/2019 up to and including 24/01/2020
Aims

This course builds on Methods: Game Theory 1. It covers more advanced material required for the analysis of static and dynamic games of incomplete information. A game of incomplete information describes a situation in which a player is uncertain about the "types" of the other players (in particular, a player may not know exactly what the other players' payoff functions are). The course will present the solution concepts of Bayesian Nash equilibrium and Perfect Bayesian equilibrium. To illustrate the theory, the course will use applications from industrial organization and other fields.

Thanks to the course the students will be prepared for courses on Competition Policy or Innovation and Networks.

Required Prerequisites

Knowledge of strategic-form games and Nash equilibrium as well as extensive-form games and subgame perfection.

Recommended Prerequisites

Methods: Game Theory 1
Content
  • Static games with incomplete information and the Bayesian Nash equilibrium. (Typical application: Auctions)
  • Dynamic games with incomplete information and the Perfect Bayesian equilibrium. (Typical application: Signaling model)

Course Format
The course runs for 9 weeks. It consists of interactive lectures and homework assignments. There will be one lecture (2h) per week and a total of three homework assignments (problem sets). The homework assignments have to be prepared in groups and will be graded.


Recommended Reading
  1. Robert Gibbons, A Primer in Game Theory, Pearson Education.
  2. Martin Osborne, An Introduction to Game Theory, Oxford University Press.
  3. Eric Rasmusen, Games and Information, Blackwell Publishing.
  4. Steven Tadelis, Game Theory: An Introduction, Princeton University Press.
Course available for exchange students
Master level, conditions apply
Timetable information
Methods: Game Theory 2
Written test opportunities
DescriptionTestBlockOpportunityDate
Schriftelijk Tentamen -- (70%) / Written Exam -- (70%)EXAM_01SM 1116-12-2019
Schriftelijk Tentamen -- (70%) / Written Exam -- (70%)EXAM_01SM 1220-01-2020
Written test opportunities (HIST)
DescriptionTest/BlockOpportunityDate
Required materials
-
Recommended materials
-
Tests
3 Assignments -- (30%)

Written Exam -- (70%)

final grade

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Kies de Nederlandse taal