We propose a method to correct for sample selection in quantile regression models.
Selection is modeled via the cumulative distribution function, or copula, of the percentile …

This article estimates individual treatment effects (ITE) and its probability distribution in a
triangular model with binary-valued endogenous treatments. Our estimation procedure takes …

This paper analyzes estimators based on the instrumental variable quantile regression
(IVQR) model (Chernozhukov and Hansen, 2004, 2005, 2006) under the local quantile …

We propose a method to correct for sample selection in quantile regression models.
Selection is modelled via the cumulative distribution function, or copula, of the percentile …

This paper provides a review of methodological advancements in the evaluation of
heterogeneous treatment effect models based on instrumental variable (IV) methods. We …

This dissertation strives to devise novel yet easy-to-implement estima-tion and inference
procedures for economists to solve complicated real world problems. It provides by far the …

This paper provides a review of methodological advancements in the evaluation of
heterogeneous treatment effect models based on instrumental variable (IV) methods. We …

This paper provides a review of methodological advancements in the evaluation of
heterogeneous treatment effect models based on instrumental variable (IV) methods. We …

In this paper we propose a new unifying approach to (partially) identify potential outcome
distributions in a non-separable triangular model with a binary endogenous variable and a …