This chapter reviews the microeconometrics literature on partial identification, focusing on
the developments of the last thirty years. The topics presented illustrate that the available …

In this article, we review quantile models with endogeneity. We focus on models that achieve
identification through the use of instrumental variables and discuss conditions under which …

The ability of quantile regression models to characterize the heterogeneous impact of
variables on different points of an outcome distribution makes them appealing in many …

We introduce a class of instrumental quantile regression methods for heterogeneous
treatment effect models and simultaneous equations models with nonadditive errors and …

We provide easy to verify sufficient conditions for the consistency and asymptotic normality
of a class of semiparametric optimization estimators where the criterion function does not …

In this paper, we develop an inferential method based on conformal prediction, which can
wrap around any survival prediction algorithm to produce calibrated, covariate-dependent …

This paper considers a linear triangular simultaneous equations model with conditional
quantile restrictions. The paper adjusts for endogeneity by adopting a control function …

In this paper we develop a new censored quantile instrumental variable (CQIV) estimator
and describe its properties and computation. The CQIV estimator combines Powell (1986) …

Theoretical models predict asymmetric information in health insurance markets may
generate inefficient outcomes due to adverse selection and moral hazard. However …

This paper develops characterizations of identified sets of structures and structural features
for complete and incomplete models involving continuous or discrete variables. Multiple …