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Bootstrap Tests: How Many Bootstraps? Author info | Abstract | Publisher info | Download info | Related research | Statistics Russell Davidson () (McGill University)
James G. MacKinnon () (Queen's University)
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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.
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Paper provided by Queen's University, Department of Economics in its series Working Papers with number
1036.
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Length: 14 pages
Date of creation: Mar 2001Date of revision:
Publication status: Published in Econometric Reviews, 19, 2000Handle: RePEc:qed:wpaper:1036Contact details of provider: Postal: Kingston, Ontario, K7L 3N6 Phone: (613) 533-2250 Fax: (613) 533-6668 Email: Web page: http://www.econ.queensu.ca/ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Mark Babcock).
Keywords: bootstrap test test power pretest bootstrap repetitions bootstrap samples Other versions of this item:
Find related papers by JEL classification: C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods
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