Asymptotics for GMM Estimators with Weak Instruments
收藏NBER1996-07-01 更新2025-01-04 收录
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https://www.nber.org/papers/t0198
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This paper develops asymptotic distribution theory for generalized method of moments (GMM) estimators and test statistics when some of the parameters are well identified, but others are poorly identified because of weak instruments. The asymptotic theory entails applying empirical process theory to
本文针对部分参数可被良好识别、其余参数因弱工具变量导致识别不足的情形,构建了广义矩估计(Generalized Method of Moments,GMM)估计量与检验统计量的渐近分布理论。该渐近理论需运用经验过程理论以
提供机构:
美国国家经济研究局
创建时间:
1996-07-01



