More efficient estimation of nonparametric panel data models with random effects

We propose a class of two-step estimators for nonparametric panel data models with random effects that are more efficient than the conventional least squares estimators. We establish asymptotic normality for the proposed estimators and derive the most efficient estimator in the class.

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Main Authors: SU, Liangjun, ULLAH, Aman
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2007
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Online Access:https://ink.library.smu.edu.sg/soe_research/2043
https://ink.library.smu.edu.sg/context/soe_research/article/3042/viewcontent/More_efficient_estimation_of_nonparametric_random_2007_afv.pdf
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spelling sg-smu-ink.soe_research-30422018-08-31T05:46:37Z More efficient estimation of nonparametric panel data models with random effects SU, Liangjun ULLAH, Aman We propose a class of two-step estimators for nonparametric panel data models with random effects that are more efficient than the conventional least squares estimators. We establish asymptotic normality for the proposed estimators and derive the most efficient estimator in the class. 2007-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/2043 info:doi/10.1016/j.econlet.2007.02.018 https://ink.library.smu.edu.sg/context/soe_research/article/3042/viewcontent/More_efficient_estimation_of_nonparametric_random_2007_afv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Nonparametrics Panel data models Random effects Efficiency Econometrics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Nonparametrics
Panel data models
Random effects
Efficiency
Econometrics
spellingShingle Nonparametrics
Panel data models
Random effects
Efficiency
Econometrics
SU, Liangjun
ULLAH, Aman
More efficient estimation of nonparametric panel data models with random effects
description We propose a class of two-step estimators for nonparametric panel data models with random effects that are more efficient than the conventional least squares estimators. We establish asymptotic normality for the proposed estimators and derive the most efficient estimator in the class.
format text
author SU, Liangjun
ULLAH, Aman
author_facet SU, Liangjun
ULLAH, Aman
author_sort SU, Liangjun
title More efficient estimation of nonparametric panel data models with random effects
title_short More efficient estimation of nonparametric panel data models with random effects
title_full More efficient estimation of nonparametric panel data models with random effects
title_fullStr More efficient estimation of nonparametric panel data models with random effects
title_full_unstemmed More efficient estimation of nonparametric panel data models with random effects
title_sort more efficient estimation of nonparametric panel data models with random effects
publisher Institutional Knowledge at Singapore Management University
publishDate 2007
url https://ink.library.smu.edu.sg/soe_research/2043
https://ink.library.smu.edu.sg/context/soe_research/article/3042/viewcontent/More_efficient_estimation_of_nonparametric_random_2007_afv.pdf
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