Instrumental Variables Estimation of Quantile Treatment Effects

Alberto Abadie, Joshua Angrist and Guido Imbens

No 229, NBER Technical Working Papers from National Bureau of Economic Research, Inc

Abstract: This paper introduces an instrumental variables estimator for the effect of a binary treatment on the quantiles of potential outcomes. The quantile treatment effects (QTE) estimator accommodates exogenous covariates and reduces to quantile regression as a special case when treatment status is exogenous. Asymptotic distribution theory and computational methods are derived. QTE minimizes a piecewise linear objective function for which a local minimum can be obtained using a modified Barrodale-Roberts algorithm. The QTE estimator is illustrated by estimating the effect of childbearing on the distribution of family income.

JEL-codes: C13 C14 (search for similar items in EconPapers)
Date: 1998-03
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Citations: View citations in EconPapers (21)

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