Average treatment effect (ATE) is a measure that is frequently used in empirical analysis for measuring the impact of a policy amendable treatment on an outcome

This book reviews recent approaches for partial identification of average treatment effects with instrumental variables in the program evaluation literature, in

I show that sharp identified sets in a large class of econometric models can be characterized by solving linear systems of equations. These linear systems deter

This paper develops a nonparametric model that represents how sequences of outcomes and treatment choices influence one another in a dynamic manner. In this set

With count-valued outcomes y in {0,1,...,M} identification and estimation of average treatment effects raise no special considerations beyond those involved in