Edward Vytlacil

TL;DR: This paper examines the properties of instrumental variables applied to models with essential heterogeneity, that is, models where responses to interventions are heterogeneous and agents adopt treatments (participate in programs) with at least partial knowledge of their idiosyncratic response.

TL;DR: In this article, the marginal treatment effect (MTE) is used to unify the nonparametric literature on treatment effects with the econometric literature on structural estimation using a non-parametric analog of a policy invariant parameter; to generate a variety of treatment effects from a common semiparametric functional form; and to explore what policy questions commonly used estimators in the treatment effect literature answer.

TL;DR: In this article, the authors examined the properties of instrumental variables applied to models with essential heterogeneity, that is, models where responses to interventions are heterogeneous and agents adopt treatments (participate in programs) with at least partial knowledge of their idiosyncratic response.

TL;DR: In this article, the authors developed a general evaluation framework that addresses well-posed economic questions and analyzes agent choice rules and subjective evaluations of outcomes as well as the standard objective evaluation of outcomes.

TL;DR: This paper examines the relationship between various treatment parameters within a latent variable model when the effects of treatment depend on the recipient's observed and unobserved characteristics and shows how this relationship can be used to identify the treatment parameters and to bound the parameters when they are not identified.