Nonparametric Identification and Estimation with Non-Classical Errors-in-Variables

Fuente: arXiv
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Autori principali: Evdokimov, Kirill S., Zeleneev, Andrei
Natura: Preprint
Pubblicazione: 2024
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author Evdokimov, Kirill S.
Zeleneev, Andrei
author_facet Evdokimov, Kirill S.
Zeleneev, Andrei
contents This paper considers nonparametric identification and estimation of the regression function when a covariate is mismeasured. The measurement error need not be classical. Employing the small measurement error approximation, we establish nonparametric identification under weak and easy-to-interpret conditions on the instrumental variable. The paper also provides nonparametric estimators of the regression function and derives their rates of convergence.
format Preprint
id arxiv_https___arxiv_org_abs_2403_11309
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Nonparametric Identification and Estimation with Non-Classical Errors-in-Variables
Evdokimov, Kirill S.
Zeleneev, Andrei
Econometrics
This paper considers nonparametric identification and estimation of the regression function when a covariate is mismeasured. The measurement error need not be classical. Employing the small measurement error approximation, we establish nonparametric identification under weak and easy-to-interpret conditions on the instrumental variable. The paper also provides nonparametric estimators of the regression function and derives their rates of convergence.
title Nonparametric Identification and Estimation with Non-Classical Errors-in-Variables
topic Econometrics
url https://arxiv.org/abs/2403.11309