Functionally sharp bounds in switching models and inequality treatment effects

Abstract

We derive nonparametric bounds in the Roy model of self-selection and more general switching models. These bounds are uniformly sharp and allow to derive sharp bounds on functional features of the counterfactual outcome distributions, and compare inequality measures on the latter.