 The weak instrument problem of the system GMM estimator in dynamic panel data modelsMaurice Bun () and Frank Windmeijer Econometrics Journal, 2010, vol. 13, issue 1, 95-126 Abstract: The system GMM estimator for dynamic panel data models combines moment conditions for the model in first differences with moment conditions for the model in levels. It has been shown to improve on the GMM estimator in the first differenced model in terms of bias and root mean squared error. However, we show in this paper that in the covariance stationary panel data AR(1) model the expected values of the concentration parameters in the differenced and levels equations for the cross-section at time t are the same when the variances of the individual heterogeneity and idiosyncratic errors are the same. This indicates a weak instrument problem also for the equation in levels. We show that the 2SLS biases relative to that of the OLS biases are then similar for the equations in differences and levels, as are the size distortions of the Wald tests. These results are shown to extend to the panel data GMM estimators. Copyright (C) The Author(s). Journal compilation (C) Royal Economic Society 2010. Date: 2010 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ect:emjrnl:v:13:y:2010:i:1:p:95-126 Ordering information: This journal article can be ordered from Access Statistics for this article Econometrics Journal is currently edited by Richard J. Smith, Oliver Linton, Pierre Perron, Jaap Abbring and Marius Ooms More articles in Econometrics Journal from Royal Economic Society Contact information at EDIRC. |
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