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Heteroskedasticity-Robust Tests in Regression Directions Author info | Abstract | Publisher info | Download info | Related research | Statistics Russell Davidson
James G. MacKinnon
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We develop simple procedures to test for omitted variables and perform other tests in regression directions, which are asymptotically valid in the presence of heteroskedasticity of unknown form. We examine the asymptotic behaviour of these tests, and use Edgeworth approximations to study their approximate finite-sample performance. We also present results from several Monte Carlo experiments, which suggest that one family of these tests should always be used in preference to the other.
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Paper provided by Queen's University, Department of Economics in its series Working Papers with number
616.
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Length: 31 pages
Date of creation: 1985Date of revision:
Publication status: Published in Annales de l'INSEE, 1985Handle: RePEc:qed:wpaper:616Contact details of provider: Postal: Kingston, Ontario, K7L 3N6 Phone: (613) 533-2250 Fax: (613) 533-6668 Email: Web page: http://www.econ.queensu.ca/ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Mark Babcock).
Keywords: heteroskedasticity-robust test specification test Edgeworth approximation Other versions of this item:
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