Abstract:
Bootstrap tests are tests for which the significance level is calculated by some sort of bootstrap procedure, which may be parametric or nonparametric. We provide a theoretical framework in which to study the size distorsions of bootstrap P values. We show that, in many circumstances, the size distorsion of a bootstrap test will be one whole order of magnitude smaller than that of the corresponding asymptotic test.
Keywords:TESTS; ECONOMETRICS (search for similar items in EconPapers) JEL-codes:C10C19 (search for similar items in EconPapers) Date: 1996
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More papers in G.R.E.Q.A.M. from Universite Aix-Marseille III Address: G.R.E.Q.A.M., (GROUPE DE RECHERCHE EN ECONOMIE QUANTITATIVE D'AIX MARSEILLE), CENTRE DE VIEILLE CHARITE, 2 RUE DE LA CHARITE, 13002 MARSEILLE. Contact information at EDIRC. Series data maintained by Thomas Krichel ().
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