This paper studies the identification and estimation of the decision rules that in- dividuals use to determine their actions in games, based on a structural econo- metric model of non-equilibrium behavior in games. The model is based pri- marily on various notions of limited strategic reasoning,...

This paper develops a strategy for identification and estimation of complete information games that does not require a regressor that has large support or a parametric specification for the distribution of the unobservables. The identification result uses a nonstandard but plausible condition on...

This paper develops a Bayesian approach to inference in a class of partially identified econometric models. Models in this class are characterized by a known mapping between a point identified reduced-form parameter μ and the identified set for a partially identified parameter θ. The approach...