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The Asymptotic Properties of the System GMM Estimator in Dynamic Panel Data Models When Both N and T are Large


Kazuhiko Hayakawa

January, 2006

Abstract
This paper complements Alvarez and Arellano (2003) by showing the asymptotic properties of the system GMM estimator for AR(1) panel data models when both N and T tend to infinity. We show that the system GMM estimator with the instruments which Blundell and Bond (1998) used will be inconsistent when both N and T are large. We also show that the system GMM estimator with all available instruments, including redundant ones, will be consistent if ση2v2 = 1-α holds.
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