The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
A Three-step Method for Choosing the Number of Bootstrap Repetitions
Abstract
This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap standard errors, confidence intervals, confidence regions, hypothesis tests, p-values, and bias correction. For each of these problems, the paper provides a three-step method for choosing B to achieve a desired level of accuracy. Accuracy is measured by the percentage deviation of the bootstrap standard error estimate, confidence interval length, test’s critical value, test’s p-value, or bias-corrected estimate based on B bootstrap simulations from the corresponding ideal bootstrap quantities for which B��. The results apply quite generally to parametric, semiparametric, and nonparametric models with independent and dependent data. The results apply to the standard nonparametric iid bootstrap, moving block bootstraps for time series data, parametric and semiparametric bootstraps, and bootstraps for regression models based on bootstrapping residuals. Monte Carlo simulations show that the proposed methods work very well.
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Cites
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Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
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The Bootstrap and Edgeworth Expansion
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Cited by
A Test for Superior Predictive Ability
Hansen, P. R. (2005) · Journal of Business & Economic Statistics · doi:10.1198/073500105000000063 · Cited by 1,230
Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results
Streukens, S., & Leroi-Werelds, S. (2016) · European Management Journal · doi:10.1016/j.emj.2016.06.003 · Cited by 1,120
Gordon, B. R., Zettelmeyer, F., Bhargava, N., & Chapsky, D. (2019) · Marketing Science · doi:10.1287/mksc.2018.1135 · Cited by 287
Estimating Local Fiscal Multipliers
Suárez Serrato, J. C., & Wingender, P. (2016) · doi:10.3386/w22425 · Cited by 270
Duguet, E., Leandri, N., L'Horty, Y., & Petit, P. (2010) · Annals of Economics and Statistics · doi:10.2307/41219165 · Cited by 118
Metadata
- Authors
- Andrews, D. W. K., & Buchinsky, M.
- Venue
- Econometrica
- Publisher
- The Econometric Society
- Published
- 2000-01
- Volume
- 68
- Issue
- 1
- Pages
- 23-51
- ISSN
- 0012-9682 (ISSN-L)
- 1468-0262
- OpenAlex
- W1987005168
- Cited by
- 306
- References
- 25
- FWCI
- 9.75
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
