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 study doubly robust estimators of various average and quantile treatment
effects under unconfoundedness; we also consider an application to a setting with an …

We consider estimation of the causal effect of a binary treatment on an outcome,
conditionally on covariates, from observational studies or natural experiments in which there …

Recent research has demonstrated the importance of flexibly controlling for covariates in
instrumental variables estimation. In this article we study the finite sample and asymptotic …

Consider the problem of estimating the local average treatment effect with an instrument
variable, where the instrument unconfoundedness holds after adjusting for a set of …

The last decades have witnessed important advancements in policy evaluation methods for
assessing the causal effect of a treatment on an outcome of interest, which are particularly …

We consider estimation of a causal effect of a possibly continuous treatment when treatment
assignment is potentially subject to unmeasured confounding, but an instrumental variable …

In this paper we study the finite sample and asymptotic properties of various weighting
estimators of the local average treatment effect (LATE), several of which are based on …

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

We consider estimation of causal effects when treatment assignment is potentially subject to
unmeasured confounding, but a valid instrumental variable is available. Moreover, our …