Linde Institute/Social and Information Sciences Laboratory (SISL) Seminar

Friday April 19, 2013 12:00 PM

The Empirical Implications of Rank in Bimatrix Games

Speaker: Siddharth Barman, EAS, Caltech
Location: Baxter 127

We study the structural complexity of bimatrix games, formalized via rank, from an empirical perspective.  We consider a setting where we have data on player behavior in diverse strategic situations, but where we do not observe the relevant payoff functions. We prove that high complexity (high rank) has empirical consequences when arbitrary data is considered. Additionally, we prove that, in more restrictive classes of data (termed laminar), any observation is rationalizable using a low-rank game: specifically a zero-sum game. Hence complexity as a structural property of a game is not always testable. Finally, we prove a general result connecting the structure of the feasible data sets with the highest rank that may be needed to rationalize a set of observations.

This is joint work with Umang Bhaskar, Federico Echenique, and Adam Wierman.

Series Linde Institute/Social and Information Sciences Laboratory Seminar Series (SISL)

Contact: Victoria Mason at Ext. 3831 victoria@hss.caltech.edu