This paper considers the problem of choosing the number of bootstrap repetitions B to use with the BCa bootstrap confidence intervals introduced by Efron (1987, Journal of the American Statistical Association 82, 171 200). Because the simulated random variables are ancillary, we seek a choice of B that yields a confidence interval that is close to the ideal bootstrap confidence interval for which B = . We specify a three-step method of choosing B that ensures that the lower and upper lengths of the confidence interval deviate from those of the ideal bootstrap confidence interval by at most a small percentage with high probability.
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Article provided by Cambridge University Press in its journal Econometric Theory.
Volume (Year): 18 (2002) Issue (Month): 04 (August) Pages: 962-984 Download reference. The following formats are available: HTML
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