Bootstrap tests: how many bootstraps?
Russell Davidson and
James MacKinnon
Econometric Reviews, 2000, vol. 19, issue 1, 55-68
Abstract:
In practice, bootstrap tests must use a finite number of bootstrap samples. This means that the outcome of the test will depend on the sequence of random numbers used to generate the bootstrap samples, and it necessarily results in some loss of power. We examine the extent of this power loss and propose a simple pretest procedure for choosing the number of bootstrap samples so as to minimize experimental randomness. Simulation experiments suggest that this procedure will work very well in practice.
Keywords: bootstrap test; test power; pretest (search for similar items in EconPapers)
Date: 2000
References: Add references at CitEc
Citations: View citations in EconPapers (180)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/07474930008800459 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Bootstrap Tests: How Many Bootstraps? (2001) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:emetrv:v:19:y:2000:i:1:p:55-68
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/LECR20
DOI: 10.1080/07474930008800459
Access Statistics for this article
Econometric Reviews is currently edited by Dr. Essie Maasoumi
More articles in Econometric Reviews from Taylor & Francis Journals
Bibliographic data for series maintained by ().