Quantile models with endogeneity

Victor Chernozhukov; Christian Hansen

In this article, we review quantile models with endogeneity. We focus on models that achieve indentification through the use of instrumental variables and discuss conditions under which partial and point identification are obtained. We discuss key conditions, which include monotonicity and full-rank-type conditions, in detail. In providing this review, we update the identification results of Chernozhukov and Hansen (2005). We illustrate the modelling assumptions through economically motivated examples. We also briefly review the literature on estimation and inference.

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Year of publication:	2013
Authors:	Chernozhukov, Victor ; Hansen, Christian Bailey
Publisher:	London : Centre for Microdata Methods and Practice
Subject:	identification \| treatment effects \| structural models \| instrumental variables \| IV-Schätzung \| Instrumental variables \| Theorie \| Theory \| Kausalanalyse \| Causality analysis \| Induktive Statistik \| Statistical inference \| Regressionsanalyse \| Regression analysis \| Schätzung \| Estimation