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Testing for Heteroskedasticity and Predictive Failure in Linear Regression Models

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  • L. G. Godfrey

Abstract

It is argued that, when researchers wish to carry out a Chow test of the significance of prediction errors, it is necessary to assume homoskedasticity because standard results on heteroskedasticity-robust tests are not available. The effects of heteroskedasticity on the Chow prediction error test are examined. The implementation of tests for heteroskedasticity is discussed, with the case in which the regressors include dummy variables for prediction error tests receiving special attention. Monte Carlo results are reported. Copyright (c) Blackwell Publishing Ltd and the Department of Economics, University of Oxford, 2008.

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Bibliographic Info

Article provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics and Statistics.

Volume (Year): 70 (2008)
Issue (Month): 3 (06)
Pages: 415-429

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Handle: RePEc:bla:obuest:v:70:y:2008:i:3:p:415-429

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Cited by:
  1. Damrongsak Rinchumphu & Chris Eves & Connie Susilawati, 2013. "Brand Value of Property in Bangkok Metropolitan Region (BMR), Thailand," International Real Estate Review, Asian Real Estate Society, vol. 16(3), pages 296-322.

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