Computationally efficient double bootstrap variance estimation
The double bootstrap provides a useful tool for bootstrapping approximately pivotal quantities by using an "inner" bootstrap loop to estimate the variance. When the estimators are computationally intensive, the double bootstrap may become infeasible. We propose the use of a new variance estimator for the nonparametric bootstrap which effectively removes the requirement to perform the inner loop of the double bootstrap. Simulation results indicate that the proposed estimator produce bootstrap-t confidence intervals with coverage accuracy which replicates the coverage accuracy for the standard double bootstrap.
(This abstract was borrowed from another version of this item.)
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Karlsson, Sune & Löthgren, Mickael, 1997.
"Computationally Efficient Double Bootstrap Variance Estimation,"
SSE/EFI Working Paper Series in Economics and Finance
151, Stockholm School of Economics.
- Karlsson, Sune & Lothgren, Mickael, 2000. "Computationally efficient double bootstrap variance estimation," Computational Statistics & Data Analysis, Elsevier, vol. 33(3), pages 237-247, May.
- Vinod, H. D., 1995. "Double bootstrap for shrinkage estimators," Journal of Econometrics, Elsevier, vol. 68(2), pages 287-302, August.
When requesting a correction, please mention this item's handle: RePEc:eee:csdana:v:33:y:2000:i:3:p:237-247. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If references are entirely missing, you can add them using this form.