to analyze the identification of a model independently of any particular parametric specification, it is useful to … perform a nonparametric analysis of identification. This chapter presents some of the recent results on the identification of … nonparametric econometric models. It considers identification in models that are additive in unobservable random terms and in models …

encounter in applications. We discuss identification and testable restrictions of these models and present a variety of …

This chapter discusses identification of common selection models of the labor market. We start with the classic Roy … ingredients for identification are exclusion restrictions and support conditions. …

control variables to correct for endogeneity, nonparametric identification of treatment effects requires strong support … conditions for identification of average treatment effects. A sufficient condition for identification is conditional …- and non-parametric identification into a common framework. …

econometric is- sues as the identification of marginal effects or economic restrictions in structural models. Our identification …

This paper studies the identification of nonseparable models with continuous, endogenous regressors, also called …