This paper considers treatment effects under endogeneity with complex heterogeneity in the
selection equation. We model the outcome of an endogenous treatment as a triangular …

In this paper we show that the distribution of treatment effects is point identified in a model
where the outcome equation is of unrestricted form and the selection equation contains …

We develop a method to learn about treatment effects in multiple treatment models with
discrete-valued instruments. We allow selection into treatment to be governed by a general …

We describe a selection model for multivariate counts, where association between the
primary outcomes and the endogenous selection source is modeled through outcome …

This paper presents a weighted optimization framework that unifies the binary, multivalued,
and continuous treatment—as well as mixture of discrete and continuous treatment—under …

This paper establishes nonparametric identification of individual treatment effects in a
nonseparable model with a binary endogenous regressor. The outcome variable may be …

In heterogeneous treatment effect models with endogeneity, the identification of the local
average treatment effect (LATE) typically relies on an instrument that satisfies two …

We consider the identification of the average treatment effect in models with continuous
endogenous variables whose impact is heterogeneous. We derive a testable restriction that …

This paper considers the evaluation of the average treatment effect of a binary endogenous
regressor on a binary outcome when one imposes a threshold crossing model on both the …

This paper introduces average treatment effects conditional on the outcomes variable in an
endogenous setup where outcome Y, treatment X and instrument Z are continuous. These …