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Near exogeneity and weak identification in generalized empirical likelihood estimators: Many moment asymptotics

机译:广义经验似然估计中的接近外生性和弱识别:许多矩渐近性

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This paper investigates the Generalized Empirical Likelihood (GEL) estimators when there are local violations of the exogeneity condition (near exogeneity) in the case of many weak moments. We also examine the tradeoff between the degree of violation of the exogeneity and the number of nearly exogenous instruments. In this respect, this paper extends many weak moment asymptotics of Newey and Windmeijer (2009a). The overidentifying restrictions test can detect both mild and large violations of exogeneity. In the case of minor violations, the Anderson Rubin (1949) and Wald tests are not size distorted
机译:本文研究了在许多弱时刻下局部违反外生条件(近外生)的情况下的广义经验似然(GEL)估计量。我们还研究了违反外生性的程度与接近外生性工具的数量之间的权衡。在这方面,本文扩展了Newey和Windmeijer(2009a)的许多弱矩渐近性。过度识别限制测试可以检测到轻微和严重违反外生性的情况。在轻微违反的情况下,安德森·鲁宾(Anderson Rubin)(1949)和瓦尔德(Wald)检验的大小没有受到扭曲

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