EconPapers    
Economics at your fingertips  
 

Bootstrap tests: how many bootstraps?

Russell Davidson and James MacKinnon ()

Econometric Reviews, 2000, vol. 19, issue 1, pages 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
View citations in EconPapers

Downloads: (external link)
http://www.informaworld.com/openurl?genre=article& ... 40C6AD35DC6213A474B5 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Bootstrap Tests: How Many Bootstraps? (1997) Downloads
Working Paper: Bootstrap Tests: How Many Bootstraps? (2001) Downloads
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: http://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.tandf.co.uk/journals/subscription.html

Access Statistics for this article

Econometric Reviews is edited by Esfandiar Maasoumi

More articles in Econometric Reviews from Taylor and Francis Journals
Series data maintained by Christopher F. Baum ().

 
Page updated 2009-11-25
Handle: RePEc:taf:emetrv:v:19:y:2000:i:1:p:55-68