Quantile Treatment Effects in the Presence of Covariates

Volume: 102, Issue: 5, Pages: 994 - 1005
Published: Dec 1, 2020
Abstract
This paper proposes a method to estimate unconditional quantile treatment effects (QTEs) given one or more treatment variables, which may be discrete or continuous, even when it is necessary to condition on covariates. The estimator, generalized quantile regression (GQR), is developed in an instrumental variable framework for generality to permit estimation of unconditional QTEs for endogenous policy variables, but it is also applicable in the...
Paper Details
Title
Quantile Treatment Effects in the Presence of Covariates
Published Date
Dec 1, 2020
Volume
102
Issue
5
Pages
994 - 1005
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