Abstract
The superefficiency (SE) model for data envelopment analysis (DEA) measures the influence of each decision-making unit on the efficient frontier and identifies those observations exerting the most influence. As such, the SE model is useful in identifying potential data errors. It also obviates the need for non-Archimedian infinitesimal constraints and eliminates the inherent problem of primal multiple optimal solutions and dual degeneracy characteristic of other DEA model versions.
| Original language | English |
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| Pages | 1041-1043 |
| Number of pages | 3 |
| State | Published - 1 Dec 1996 |
| Event | Proceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3) - Orlando, FL, USA Duration: 24 Nov 1996 → 26 Nov 1996 |
Other
| Other | Proceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3) |
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| City | Orlando, FL, USA |
| Period | 24/11/96 → 26/11/96 |
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O'Neill, L., Lewis, H. S., & Ord, J. K. (1996). Diagnostic for measuring influence in data envelopment analysis. 1041-1043. Paper presented at Proceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3), Orlando, FL, USA, .