On the effect of mean-nonstationarity in dynamic panel data models

Journal of Econometrics Volume 153 Issue 2 Page 133-135 published_at 2009-12
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Title ( eng )
On the effect of mean-nonstationarity in dynamic panel data models
Creator
Source Title
Journal of Econometrics
Volume 153
Issue 2
Start Page 133
End Page 135
Abstract
In this paper,we investigate the effect of mean-nonstationarity on the first-difference generalized method of moments (FD-GMM) estimator in dynamic panel data models. We find that when data is mean-nonstationary and the variance of individual effects is significantly larger than that of disturbances, the FD-GMM estimator performs quite well. We demonstrate that this is because the correlation between the lagged dependent variable and instruments gets larger owing to the unremoved individual effects, i.e., instruments become strong. This implies that, under mean-nonstationarity, the FD-GMM estimator does not always suffer from the weak instruments problem even when data is persistent.
Keywords
Dynamic panel data models
Strength of instruments
Generalized method of moments estimator
Mean-nonstationarity
NDC
Economics [ 330 ]
Language
eng
Resource Type journal article
Publisher
Elsevier Science SA
Date of Issued 2009-12
Rights
Copyright (c) 2009 Elsevier B. V.
Publish Type Author’s Original
Access Rights open access
Source Identifier
[ISSN] 0304-4076
[DOI] 10.1016/j.jeconom.2009.04.008
[NCID] AA00251673
[DOI] http://dx.doi.org/10.1016/j.jeconom.2009.04.008