The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Bootstrapping a Regression Equation: Some Empirical Results
Abstract
The bootstrap, like the jackknife, is a technique for estimating standard errors. The idea is to use Monte Carlo simulation based on a nonparametric estimate of the underlying error distribution. The main object of this article is to present the bootstrap in the context of an econometric equation describing the demand for energy by industry. As it turns out, the conventional asymptotic formulas for estimating standard errors are too optimistic by factors of nearly three, when applied to a particular finite-sample problem. In a simpler context, this finding can be given a mathematical proof.
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Citations
Cites
The Jackknife, the Bootstrap and Other Resampling Plans
Efron, B. (1982) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611970319 · Cited by 8,120
Cox, D. R., & Hinkley, D. V. (1974) · doi:10.1007/978-1-4899-2887-0 · Cited by 3,089
Cited by
What To Do (and Not to Do) with Time-Series Cross-Section Data
Beck, N., & Katz, J. N. (1995) · American Political Science Review · doi:10.2307/2082979 · Cited by 6,840
Meta-Analysis of Theory-of-Mind Development: The Truth about False Belief
Wellman, H. M., Cross, D., & Watson, J. (2001) · Child Development · doi:10.1111/1467-8624.00304 · Cited by 4,476
On Approximating the Statistical Properties of Elasticities
Krinsky, I., & Robb, A. L. (1986) · The Review of Economics and Statistics · doi:10.2307/1924536 · Cited by 2,374
Simple technical trading rules and the stochastic properties of stock returns
BROCK, W., LAKONISHOK, J., & LeBARON, B. (1992) · The Journal of Finance · doi:10.1111/j.1540-6261.1992.tb04681.x · Cited by 2,301
Direct and Indirect Effects: Classical and Bootstrap Estimates of Variability
Bollen, K. A., & Stine, R. (1990) · Sociological Methodology · doi:10.2307/271084 · Cited by 1,305
Metadata
- Authors
- Freedman, D. A., & Peters, S. C.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1984-03
- Volume
- 79
- Issue
- 385
- Pages
- 97-106
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2060143287
- Cited by
- 413
- References
- 2
- FWCI
- 21.39
- 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.
