Game theory

The aim of this course is to equip students with a solid understanding of game theory and its most used solution concepts. The first part of the course focuses on static games and on how these strategic environments can be analyzed using Nash equilibrium and rationalizability. The second part of the course extends the analysis to dynamic games and describes how to modify known solution concepts to incorporate credibility of dynamic behavior. In the third and last part of the course, incomplete and asymmetric information is introduced.

By the end of the course the student should be able to (i) model strategic interactions as games, (ii) discuss and predict the behavior of players according to different solution concepts, (iii) understand the benefits and limitations of different solution concepts, (iv) understand the implications of repeated interactions, (v) model incomplete and asymmetric information in games and understand how they can affect individuals' behavior.