 Regression-Based Tests of Predictive AbilityKenneth West () and Michael McCracken International Economic Review, 1998, vol. 39, issue 4, 817-40 Abstract: The authors develop regression-based tests of hypotheses about out of sample prediction errors. Representative tests include ones for zero mean and zero correlation between a prediction error and a vector of predictors. The relevant environments are ones in which predictions depend on estimated parameters. The authors show that standard regression statistics generally fail to account for errors introduced by estimation of these parameters. They propose computationally convenient test statistics that properly account for such errors. Simulations indicate that the procedures can work well in samples of size typically available, although there sometimes are substantial size distortions. Copyright 1998 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association. Date: 1998 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ier:iecrev:v:39:y:1998:i:4:p:817-40 Ordering information: This journal article can be ordered from Access Statistics for this article International Economic Review is currently edited by Harold L. Cole More articles in International Economic Review from Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association 160 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104-6297. Contact information at EDIRC. |
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