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The Size Distortion of Bootstrap Tests
Russell Davidson and James G. MacKinnon
Vol. 15, No. 3 (Jun., 1999), pp. 361-376
Published by: Cambridge University Press
Stable URL: http://www.jstor.org/stable/3533339
Page Count: 16
You can always find the topics here!Topics: Critical values, Statistical models, P values, Econometrics, Economic statistics, Parametric models, Statistics, Mathematical independent variables, Statistical estimation, Simulations
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We provide a theoretical framework in which to study the accuracy of bootstrap P values, which may be based on a parametric or nonparametric bootstrap. In the parametric case, the accuracy of a bootstrap test will depend on the shape of what we call the critical value function. We show that, in many circumstances, the error in rejection probability of a bootstrap test will be one whole order of magnitude smaller than that of the corresponding asymptotic test. We also propose a simulation method for estimating this error that requires the calculation of only two test statistics per replication.
Econometric Theory © 1999 Cambridge University Press