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Nonparametric regression with errors in variables and applications

In this paper we consider the problem of the nonparametric regression estimation, when measurement errors are involved in the explanatory variable. Using Pollard empirical process the uniform consistency with sharp rates is established for the nonparametric estimator. Applications in the Engel curve analysis are discussed.
Year of publication:
1997
Authors: Ioannides, D. A. ; Alevizos, P. D.
Published in:
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 32.1997, 1, p. 35-43
Publisher: Elsevier
Keywords: Uniform consistency Measurement errors Regression estimation Simulations Engel curves
Type of publication: Article
Source:
Persistent link: https://www.econbiz.de/10005223691
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