Data Mining in Repeated Games
8 December 2022 @ 3:30 pm - 5:30 pm
Online Research Seminar
15:30 pm, Thursday, 8 December 2022
We conduct experiments on a rich set of repeated games with high discount factors ( = 0.99; 0.995) and develop two pattern-mining methods to study the long run. Our approach emphasizes learning within a repeated game and documents its consequences. Whether, how and what patterns emerge are the subjects of this paper. We find that there is more stability, more efficiency, and more equality at the end of play than at the beginning. Moreover, subjects reach more complex agreements over time. We are also able to detect typical story lines relating long run outcomes to initial play.
About the speaker
Christos A. Ioannou is a Full Professor (Professeur des Universités) in Economics at the University Paris 1 Panthéon-Sorbonne and a Research Fellow at the Centre d’Economie de la Sorbonne (since 2019). He graduated in 2009 with a Ph.D in Economics from the University of Minnesota. He is an applied game theorist interested in modelling economic behavior.
His research interests span from an analysis and modelling of behavior in repeated games to that in prediction markets.