Horowitz, J.L. () (University of Iowa) Savin, N.E. () (University of Iowa)
Abstract
Tests of statistical hypotheses can be based on either of two critical values: the Type I critical value or the size-corrected critical value. The former usually depends on unknown population parameters and cannot be evaluated exactly in applications, but it can often be estimated very accurately by using the bootstrap. The latter does not depend on unknown population parameters but is likely to yield a test with low power. The critical values used in most Monte Carlo studies of the powers of tests are neither Type I nor size-corrected. They are irrelevant to empirical research.
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Publisher Info
Paper provided by University of Iowa, Department of Economics in its series Working Papers with number
98-07.
Length: 16 Pages Date of creation: Jul 1998 Date of revision: Handle: RePEc:uia:iowaec:98-07
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