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Generalizing weak instrument robust IV statistics towards multiple parameters, unrestricted covariance matrices and identification statistics

机译:对多个参数,无限制协方差矩阵和识别统计量泛化弱仪器稳健的IV统计量

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We generalize the weak instrument robust score or Lagrange multiplier and likelihood ratio instrumental variables (IV) statistics towards multiple parameters and a general covariance matrix so they can be used in the generalized method of moments (GMM). The GMM extension of Moreira's [2003. A conditional likelihood ratio test for structural models. Econometrica 71, 1027-1048] conditional likelihood ratio statistic towards GMM preserves its expression except that it becomes conditional on a statisticthat tests the rank of a matrix. We analyze the spurious power decline of Kleibergen's [2002. Pivotal statistics for testing structural parameters in instrumental variables regression. Econometrica 70, 1781-1803, 2005. Testing parameters in GMM without assuming that they are identified. Econometrica 73, 1103-1124] score statistic and show that an independent misspecification pre-test overcomes it. We construct identification statistics that reflect if the confidence sets of the parameters are bounded. Apower study and the possible shapes of confidence sets illustrate the analysis.
机译:我们针对多个参数和通用协方差矩阵推广了弱仪器稳健得分或拉格朗日乘数和似然比仪器变量(IV)统计信息,因此可以将其用于广义矩量(GMM)中。 GMM扩展为Moreira [2003年。结构模型的条件似然比检验。 [Econometrica 71,1027-1048]针对GMM的条件似然比统计信息保留了其表达,只是它以测试矩阵等级的统计信息为条件。我们分析了Kleibergen [2002年]的杂散功率下降。在工具变量回归中测试结构参数的关键统计量。 Econometrica 70,1781-1803,2005。在GMM中测试参数而不假定已识别出这些参数。 Econometrica 73,1103-1124]对统计数据进行评分,并显示出独立的错误指定预测试可以克服该问题。我们构造识别统计信息,以反映参数的置信度集是否有界。 Apower研究和置信集的可能形状说明了这一分析。

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