# Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models

@article{Simar1998SensitivityAO, title={Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models}, author={L{\'e}opold Simar and Paul W. Wilson}, journal={Management Science}, year={1998}, volume={44}, pages={49-61} }

Efficiency scores of production units are generally measured relative to an estimated pro-duction frontier. Nonparametric estimators (DEA, FDH,Â·Â·Â·) 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…

## 1,960 Citations

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