奇异系统矩条件下的有效GMM估计

IF 0.7 Q3 STATISTICS & PROBABILITY Statistical Theory and Related Fields Pub Date : 2020-07-02 DOI:10.1080/24754269.2019.1653159
Zhiguo Xiao
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引用次数: 3

摘要

针对非奇异系统的矩条件,提出了标准广义矩估计方法。然而,许多重要的经济模型都具有奇异的矩条件系统的特征。本文表明,通过使用样本矩条件的方差矩阵的自反广义逆,特别是Moore–Penrose广义逆作为加权矩阵,可以实现此类模型的有效GMM估计。我们给出了最优加权矩阵的一致性估计,并建立了它的一致性。还讨论了使用广义逆的潜在问题和一些补救措施。
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Efficient GMM estimation with singular system of moment conditions
Standard generalised method of moments (GMM) estimation was developed for nonsingular system of moment conditions. However, many important economic models are characterised by singular system of moment conditions. This paper shows that efficient GMM estimation of such models can be achieved by using the reflexive generalised inverses, in particular the Moore–Penrose generalised inverse, of the variance matrix of the sample moment conditions as the weighting matrix. We provide a consistent estimator of the optimal weighting matrix and establish its consistency. Potential issues of using generalised inverse and some remedies are also discussed.
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来源期刊
CiteScore
0.90
自引率
20.00%
发文量
21
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