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The Sensitivity of Some General Checks to Omitted Variables in the Linear Model

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Godfrey, L G
Orme, C D

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Abstract

This paper examines the usefulness of H. White's (1982) information matrix test and test for heteroskedasticity of unspecified form as general checks of adequacy in the context of linear models. Asymptotic analysis and Monte Carlo results are provided, with the latter covering a number of general misspecification tests. Comments are made on the value of testing for normality. Copyright 1994 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.

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Article provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.

Volume (Year): 35 (1994)
Issue (Month): 2 (May)
Pages: 489-506
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Handle: RePEc:ier:iecrev:v:35:y:1994:i:2:p:489-506

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  1. Dimitris Hatzinikolaou & Athanassios Stavrakoudis, 2006. "Empirical size and power of some diagnostic tests applied to a distributed lag model," Empirical Economics, Springer, vol. 31(3), pages 631-643, September. [Downloadable!] (restricted)
  2. Joachim Zietz, 2005. "Detecting Neglected Parameter Heterogeneity with Chow Tests," Working Papers 200503, Middle Tennessee State University, Department of Economics and Finance. [Downloadable!]
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