Better Confidence Intervals: The Double Bootstrap with No Pivot

David Letson and B McCullough

American Journal of Agricultural Economics, 1998, vol. 80, issue 3, 552-559

Abstract: The double bootstrap is an important advance in confidence interval generation because it converges faster than the already popular single bootstrap. Yet the usual double bootstrap requires a stable pivot that is not always available, e.g., when estimating flexibilities or substitution elasticities. A recently developed double bootstrap does not require a pivot. A Monte Carlo analysis with the Waugh data finds the double bootstrap achieves nominal coverage whereas the single bootstrap does not. A useful artifice dramatically decreases the computational time of the double bootstrap. Copyright 1998, Oxford University Press.

Date: 1998
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Persistent link: https://EconPapers.repec.org/RePEc:oup:ajagec:v:80:y:1998:i:3:p:552-559

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