Abstract
Data envelopment analysis (DEA) has become a popular approach to nonparametric efficiency measurement. The statistical inference using bootstrap methods is readily available for the radial DEA estimator; however it is missing for the Russell measure, the nonradial DEA estimator. We propose a bootstrap based procedure for making statistical inference about the individual Russell measures of technical efficiency. We perform simulations to examine finite sample properties of the proposed estimator. Finally, we present an empirical study using proposed bootstrap procedure.
| Original language | English |
|---|---|
| Pages (from-to) | 517-527 |
| Number of pages | 11 |
| Journal | Journal of the Operational Research Society |
| Volume | 71 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 3 Mar 2020 |
| Externally published | Yes |
Keywords
- Nonradial efficiency
- Russell measure
- bootstrap
- data envelopment analysis
- frontier efficiency models
- statistical inference
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