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Bootstrap Procedures under some Non-I.I.D. Models
Open accessAbstract
It is shown in this article that the classical i.i.d. bootstrap remains a valid procedure for estimating the sampling distributions of certain symmetric estimators of location, as long as the random observations are independently drawn from distributions with (essentially) a common location. This may be viewed as a robust property of the classical i.i.d. bootstrap. Also included is a study of the second order properties of a different bootstrap procedure proposed by Wu in the context of heteroscedasticity in regression.
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Cited by
Bootstrap-Based Improvements for Inference With Clustered Errors
Cameron, A. C., Gelbach, J. B., & Miller, D. L. (2008) · Review of Economics and Statistics · doi:10.1162/rest.90.3.414 · Cited by 4,417
Fast and wild: Bootstrap inference in Stata using boottest
Roodman, D., Nielsen, M. Ø., MacKinnon, J. G., & Webb, M. D. (2019) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x19830877 · Cited by 1,007
The wild bootstrap for few (treated) clusters
MacKinnon, J. G., & Webb, M. D. (2018) · The Econometrics Journal · doi:10.1111/ectj.12107 · Cited by 317
The Wild Bootstrap with a “Small” Number of “Large” Clusters
Canay, I. A., Santos, A., & Shaikh, A. M. (2021) · The Review of Economics and Statistics · doi:10.1162/rest_a_00887 · Cited by 104
A wild bootstrap approach for nonparametric repeated measurements
Friedrich, S., Konietschke, F., & Pauly, M. (2017) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2016.06.016 · Cited by 41
Metadata
- Authors
- Liu, R. Y.
- Venue
- The Annals of Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 1988-12-01
- Volume
- 16
- Issue
- 4
- ISSN
- 0090-5364 (ISSN-L)
- OpenAlex
- W2051726817
- Cited by
- 640
- References
- 0
- FWCI
- 1.75
- Type
- journal article
- Language
- en
- Open access
- bronze
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