Robust centering in the fixed effect panel data model

In recent years, robust estimators for fixed effect panel data model have been developed to provide alternatives to the least square estimates in the presence of outliers. The robust adaptation involves transformation of data by the median instead of the mean in order to eliminate any unobserved eff...

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Main Authors: Midi, Habshah, Abu Bakar, Nor Mazlina
Format: Article
Language:English
Published: Pakistan Journal of Statistics 2015
Online Access:http://psasir.upm.edu.my/id/eprint/46199/
http://psasir.upm.edu.my/id/eprint/46199/1/Robust%20centering%20in%20the%20fixed%20effect%20panel%20data%20model.pdf
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author Midi, Habshah
Abu Bakar, Nor Mazlina
author_facet Midi, Habshah
Abu Bakar, Nor Mazlina
author_sort Midi, Habshah
building UPM Institutional Repository
collection Online Access
description In recent years, robust estimators for fixed effect panel data model have been developed to provide alternatives to the least square estimates in the presence of outliers. The robust adaptation involves transformation of data by the median instead of the mean in order to eliminate any unobserved effect. Median centering is chosen due to its robustness, simple derivation and possesses min max property. However, the procedure introduces non-linearity in the data and causes some robust estimators to lose their regression equivariance property. This study proposed MM-centering to provide robust solutions to the Within Group parameter estimates. The numerical results indicate that the proposed methods are more efficient than the existing method.
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publishDate 2015
publisher Pakistan Journal of Statistics
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spelling upm-461992022-07-08T23:45:37Z http://psasir.upm.edu.my/id/eprint/46199/ Robust centering in the fixed effect panel data model Midi, Habshah Abu Bakar, Nor Mazlina In recent years, robust estimators for fixed effect panel data model have been developed to provide alternatives to the least square estimates in the presence of outliers. The robust adaptation involves transformation of data by the median instead of the mean in order to eliminate any unobserved effect. Median centering is chosen due to its robustness, simple derivation and possesses min max property. However, the procedure introduces non-linearity in the data and causes some robust estimators to lose their regression equivariance property. This study proposed MM-centering to provide robust solutions to the Within Group parameter estimates. The numerical results indicate that the proposed methods are more efficient than the existing method. Pakistan Journal of Statistics 2015 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/46199/1/Robust%20centering%20in%20the%20fixed%20effect%20panel%20data%20model.pdf Midi, Habshah and Abu Bakar, Nor Mazlina (2015) Robust centering in the fixed effect panel data model. Pakistan Journal of Statistics, 31 (1). pp. 33-48. ISSN 1012-9367 https://www.researchgate.net/publication/281786694_Robust_centering_in_the_fixed_effect_panel_data_model
spellingShingle Midi, Habshah
Abu Bakar, Nor Mazlina
Robust centering in the fixed effect panel data model
title Robust centering in the fixed effect panel data model
title_full Robust centering in the fixed effect panel data model
title_fullStr Robust centering in the fixed effect panel data model
title_full_unstemmed Robust centering in the fixed effect panel data model
title_short Robust centering in the fixed effect panel data model
title_sort robust centering in the fixed effect panel data model
url http://psasir.upm.edu.my/id/eprint/46199/
http://psasir.upm.edu.my/id/eprint/46199/
http://psasir.upm.edu.my/id/eprint/46199/1/Robust%20centering%20in%20the%20fixed%20effect%20panel%20data%20model.pdf