Efficiency bounds for estimating linear functionals of nonparametric regression models with endogenous regressors
Thomas A. Severini and
Gautam Tripathi ()
Journal of Econometrics, 2012, vol. 170, issue 2, 491-498
Let Y=μ∗(X)+ε, where μ∗ is unknown and E[ε|X]≠0 with positive probability but there exist instrumental variables W such that E[ε|W]=0 w.p.1. It is well known that such nonparametric regression models are generally “ill-posed” in the sense that the map from the data to μ∗ is not continuous. In this paper, we derive the efficiency bounds for estimating certain linear functionals of μ∗ without assuming μ∗ itself to be identified.
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Working Paper: Efficiency bounds for estimating linear functionals of nonparametric regression models with endogenous regressors (2007)
Working Paper: Efficiency Bounds for Estimating Linear Functionals of Nonparametric Regression Models with Endogenous Regressors (2007)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:170:y:2012:i:2:p:491-498
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