GMM estimation for dynamic panels with fixed effects and strong instrument at unity

This paper develops new estimation and inference procedures for dynamic panel data models with fixed effects and incidental trends. A simple consistent GMM estimation method is proposed that avoids the weak moment condition problem that is known to affect conventional GMM estimation when the autoreg...

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Main Authors: HAN, C., PHILLIPS, Peter C. B.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2010
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Online Access:https://ink.library.smu.edu.sg/soe_research/2125
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spelling sg-smu-ink.soe_research-31252017-12-29T06:54:07Z GMM estimation for dynamic panels with fixed effects and strong instrument at unity HAN, C. PHILLIPS, Peter C. B. This paper develops new estimation and inference procedures for dynamic panel data models with fixed effects and incidental trends. A simple consistent GMM estimation method is proposed that avoids the weak moment condition problem that is known to affect conventional GMM estimation when the autoregressiye coefficient (rho) is near unity. In both panel and time series cases, the estimator has standard Gaussian asymptotics for all values of rho is an element of (-1, 1] irrespective of how the composite cross-section and time series sample sizes pass to infinity. Simulations reveal that the estimator has little bias even in very small samples. The approach is applied to panel unit root testing. 2010-02-01T08:00:00Z text https://ink.library.smu.edu.sg/soe_research/2125 info:doi/10.1017/S026646660909063X 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
HAN, C.
PHILLIPS, Peter C. B.
GMM estimation for dynamic panels with fixed effects and strong instrument at unity
description This paper develops new estimation and inference procedures for dynamic panel data models with fixed effects and incidental trends. A simple consistent GMM estimation method is proposed that avoids the weak moment condition problem that is known to affect conventional GMM estimation when the autoregressiye coefficient (rho) is near unity. In both panel and time series cases, the estimator has standard Gaussian asymptotics for all values of rho is an element of (-1, 1] irrespective of how the composite cross-section and time series sample sizes pass to infinity. Simulations reveal that the estimator has little bias even in very small samples. The approach is applied to panel unit root testing.
format text
author HAN, C.
PHILLIPS, Peter C. B.
author_facet HAN, C.
PHILLIPS, Peter C. B.
author_sort HAN, C.
title GMM estimation for dynamic panels with fixed effects and strong instrument at unity
title_short GMM estimation for dynamic panels with fixed effects and strong instrument at unity
title_full GMM estimation for dynamic panels with fixed effects and strong instrument at unity
title_fullStr GMM estimation for dynamic panels with fixed effects and strong instrument at unity
title_full_unstemmed GMM estimation for dynamic panels with fixed effects and strong instrument at unity
title_sort gmm estimation for dynamic panels with fixed effects and strong instrument at unity
publisher Institutional Knowledge at Singapore Management University
publishDate 2010
url https://ink.library.smu.edu.sg/soe_research/2125
_version_ 1770573903870033920