This paper derives simply computed closed-form expressions for the Average Treatment Effect (ATE), the effect of Treatment on the Treated (TT), Local Average Treatment Effect (LATE) and Marginal Treatment Effect (MTE) in a latent variable framework for both normal and non-normal models. The...

In this paper, we review and unite the literatures on returns to schooling and Bayesian model averaging. We observe that most studies seeking to estimate the returns to education have done so using particular (and often different across researchers) model specifications. Given this, we review...

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 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,...