The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models
Abstract
Efficiency scores of production units are generally measured relative to an estimated production frontier. Nonparametric estimators (DEA, FDH, ⋯) are based on a finite sample of observed production units. The bootstrap is one easy way to analyze the sensitivity of efficiency scores relative to the sampling variations of the estimated frontier. The main point in order to validate the bootstrap is to define a reasonable data-generating process in this complex framework and to propose a reasonable estimator of it. This paper provides a general methodology of bootstrapping in nonparametric frontier models. Some adapted methods are illustrated in analyzing the bootstrap sampling variations of input efficiency measures of electricity plants.
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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
Cited by
Estimation and inference in two-stage, semi-parametric models of production processes
Simar, L., & Wilson, P. W. (2007) · Journal of Econometrics · doi:10.1016/j.jeconom.2005.07.009 · Cited by 3,388
Self-citationEstimation and Inference in Nonparametric Frontier Models: Recent Developments and Perspectives
Simar, L., & Wilson, P. W. (2013) · Foundations and Trends in Econometrics · doi:10.1561/0800000020 · Cited by 382
Self-citationCherchye, L., Moesen, W., Rogge, N., Van Puyenbroeck, T., Saisana, M., Saltelli, A., Liska, R., & Tarantola, S. (2008) · Journal of the Operational Research Society · doi:10.1057/palgrave.jors.2602445 · Cited by 322
A methodology for strategic sourcing
Talluri, S., & Narasimhan, R. (2004) · European Journal of Operational Research · doi:10.1016/s0377-2217(02)00649-5 · Cited by 310
Improving discrimination in data envelopment analysis: PCA–DEA or variable reduction
Adler, N., & Yazhemsky, E. (2010) · European Journal of Operational Research · doi:10.1016/j.ejor.2009.03.050 · Cited by 229
Metadata
- Authors
- Simar, L., & Wilson, P. W.
- Venue
- Management Science
- Published
- 1998-01
- Volume
- 44
- Issue
- 1
- Pages
- 49-61
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2134675596
- Cited by
- 2,255
- References
- 1
- FWCI
- 26.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- Simar, L., & Wilson, P. W. (1998). Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models. Management Science. https://doi.org/10.1287/mnsc.44.1.49
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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.
