Game Theory
- Teacher(s):
- Course given in: English
- ECTS Credits:
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Schedule:
Spring Semester
2021-2022,
4.0h. course
(weekly average)
WARNING : this is an old version of the syllabus, old versions contain OBSOLETE data. -
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ObjectivesThe purpose of this course is to make masters students at UNIL acquainted with the basic solution concepts used to solve games, namely: Dominance, Iterated Deletion of Dominated Strategies, Rationalizability, Nash Equilibrium, Backward Induction, Subgame Perfect Equilibrium, Bayesian Nash Equilibrium, and Perfect Bayesian Equilibrium. In addition, the course also discusses various ways to refine the solutions concepts in order to come up with more precise predictions in settings with multiple equilibria. At the end of the course, topics from cooperative game theory will be discussed, e.g., matching markets and market design. ContentsStatic Games of Complete Information, Dominance, Rationalizability Static Games of Complete Information, Nash Equilibrium Static Games of Complete Information, Mixed-Strategy Nash Dynamic Games of Complete Information, Multi-Stage Games Dynamic Games of Complete Information, Infinitely-Repeated Games Static Games of Incomplete Information Dynamic Games of Incomplete Information Cooperative Game Theory Matching Markets and Market Design
ReferencesMain Book: Steve Tadelis, Game Theory: An Introduction, Princeton University Press, Princeton, New Jersey. plus material posted on moodle page.
Pre-requisitesThe skills and knowledge of the HEC MScE microeconomics course are required. EvaluationFirst attempt
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