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Regression model

系统GMM(Arellano-Bover / Blundell-Bond)

系统GMM是一种广义矩估计量,用于包含滞后因变量的动态面板模型。该方法由Blundell和Bond(1998)在Arellano和Bover工作的基础上提出,它在早期的差分GMM(Arellano-Bond)的差分方程基础上增加了水平方程,从而在N较大而T较小时获得一致估计。

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来源

  1. Arellano, M. & Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. Review of Economic Studies, 58(2), 277-297. DOI: 10.2307/2297968
  2. Blundell, R. & Bond, S. (1998). Initial Conditions and Moment Restrictions in Dynamic Panel Data Models. Journal of Econometrics, 87(1), 115-143. DOI: 10.1016/S0304-4076(98)00009-8
  3. Roodman, D. (2009). How to Do xtabond2: An Introduction to Difference and System GMM in Stata. Stata Journal, 9(1), 86-136. DOI: 10.1177/1536867X0900900106

如何引用本页

ScholarGate. (2026, June 1). System Generalized Method of Moments Estimator (Arellano-Bover / Blundell-Bond). ScholarGate. https://scholargate.app/zh/econometrics/system-gmm

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被引用于

ScholarGateSystem GMM (System Generalized Method of Moments Estimator (Arellano-Bover / Blundell-Bond)). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/system-gmm · 数据集: https://doi.org/10.5281/zenodo.20539026