QML Estimation of Dynamic Panel Data Models with Spatial Errors

We propose quasi maximum likelihood (QML) estimation of dynamic panel models with spatial errors when the cross-sectional dimension (n) is large and the time dimension (T) is fixed. We consider both the random effects and fixed effects models and derive the limiting distributions of the QML estimato...

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Main Authors: SU, Liangjun, YANG, Zhenlin
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Language:English
Published: Institutional Knowledge at Singapore Management University 2006
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Online Access:https://ink.library.smu.edu.sg/soe_research/924
https://search.library.smu.edu.sg/primo-explore/fulldisplay?docid=SMU_ALMA2135120750002601&context=L&vid=SMU_NUI&search_scope=Everything&tab=default_tab&lang=en_US
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spelling sg-smu-ink.soe_research-19232017-08-05T09:08:28Z QML Estimation of Dynamic Panel Data Models with Spatial Errors SU, Liangjun YANG, Zhenlin We propose quasi maximum likelihood (QML) estimation of dynamic panel models with spatial errors when the cross-sectional dimension (n) is large and the time dimension (T) is fixed. We consider both the random effects and fixed effects models and derive the limiting distributions of the QML estimators under different assumptions on the individual effects and on the initial observations. Monte Carlo simulation shows that the estimators perform well in finite samples. 2006-07-01T07:00:00Z text https://ink.library.smu.edu.sg/soe_research/924 https://search.library.smu.edu.sg/primo-explore/fulldisplay?docid=SMU_ALMA2135120750002601&context=L&vid=SMU_NUI&search_scope=Everything&tab=default_tab&lang=en_US Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Econometrics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Econometrics
spellingShingle Econometrics
SU, Liangjun
YANG, Zhenlin
QML Estimation of Dynamic Panel Data Models with Spatial Errors
description We propose quasi maximum likelihood (QML) estimation of dynamic panel models with spatial errors when the cross-sectional dimension (n) is large and the time dimension (T) is fixed. We consider both the random effects and fixed effects models and derive the limiting distributions of the QML estimators under different assumptions on the individual effects and on the initial observations. Monte Carlo simulation shows that the estimators perform well in finite samples.
format text
author SU, Liangjun
YANG, Zhenlin
author_facet SU, Liangjun
YANG, Zhenlin
author_sort SU, Liangjun
title QML Estimation of Dynamic Panel Data Models with Spatial Errors
title_short QML Estimation of Dynamic Panel Data Models with Spatial Errors
title_full QML Estimation of Dynamic Panel Data Models with Spatial Errors
title_fullStr QML Estimation of Dynamic Panel Data Models with Spatial Errors
title_full_unstemmed QML Estimation of Dynamic Panel Data Models with Spatial Errors
title_sort qml estimation of dynamic panel data models with spatial errors
publisher Institutional Knowledge at Singapore Management University
publishDate 2006
url https://ink.library.smu.edu.sg/soe_research/924
https://search.library.smu.edu.sg/primo-explore/fulldisplay?docid=SMU_ALMA2135120750002601&context=L&vid=SMU_NUI&search_scope=Everything&tab=default_tab&lang=en_US
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