A nonparametric test of exogeneity

Richard Blundell () and Joel L. Horowitz

No 15/04, CeMMAP working papers from Institute for Fiscal Studies

Abstract: This paper is concerned with inference about a function g that is identified by a conditional moment restriction involving instrumental variables. The function is nonparametric.It satisfies mild regularity conditions but is otherwise unknown. The paper presents test of thehypothesis that g is the mean of a random variable Y conditional on a covariate X . The needto test this hypothesis arises frequently in economics. The test does not require nonparametricinstrumental-variables (IV) estimation of g and is not subject to the ill-posed inverse problemthat nonparametric IV estimation entails. The test is consistent whenever g differs from theconditional mean function of Y on a set of non-zero probability. Moreover, the power of the testis arbitrarily close to 1 uniformly over a set of functions g whose distance from the conditionalmean function is O(n-1/2), where is the sample size.

Date: 2004-12-14
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Related works:
Journal Article: A Non-Parametric Test of Exogeneity (2007)
Working Paper: A nonparametric test of exogeneity (2004)
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Persistent link: https://EconPapers.repec.org/RePEc:azt:cemmap:15/04

DOI: 10.1920/wp.cem.2004.1504

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