The Sensitivity of Some General Checks to Omitted Variables in the Linear Model
AbstractThis 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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Bibliographic InfoArticle 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)
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- Les Godfrey & Chris Orme, . "The Sensitivity of some General Checks to Omitted Variables in the Linear Model," Discussion Papers 92/3, Department of Economics, University of York.
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- Joachim Zietz, 2005.
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- Joachim Zietz, 2006. "Detecting neglected parameter heterogeneity with Chow tests," Applied Economics Letters, Taylor & Francis Journals, vol. 13(6), pages 369-374.
- Eduardo Fé-Rodríguez & Chris D. Orme, 2009. "On the Sensitivity of Kernel-based Tests of Conditional Moment Restrictions," The School of Economics Discussion Paper Series 0912, Economics, The University of Manchester.
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