Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/173414 
Year of Publication: 
2017
Series/Report no.: 
Working Paper No. 254
Publisher: 
University of Zurich, Department of Economics, Zurich
Abstract: 
In many multiple testing problems, the individual null hypotheses (i) concern univariate parameters and (ii) are one-sided. In such problems, power gains can be obtained for bootstrap multiple testing procedures in scenarios where some of the parameters are "deep in the null" by making certain adjustments to the null distribution under which to resample. In this paper, we compare a Bonferroni adjustment that is based on finite-sample considerations with certain "asymptotic" adjustments previously suggested in the literature.
Subjects: 
Bonferroni
multiple hypothesis testing
stepwise method
JEL: 
C12
C14
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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