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

被引:40
作者
Kleibergen, Frank
机构
[1] Brown Univ, Dept Econ, Providence, RI 02912 USA
[2] Univ Amsterdam, Dept Quantitat Econ, NL-1018 WB Amsterdam, Netherlands
关键词
GMM; score or Lagrange multiplier statistics; likelihood ratio statistics; rank reduction;
D O I
10.1016/j.jeconom.2006.06.010
中图分类号
F [经济];
学科分类号
02 ;
摘要
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 statistic that 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. A power study and the possible shapes of confidence sets illustrate the analysis. (C) 2006 Elsevier B.V. All rights reserved.
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页码:181 / 216
页数:36
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