Abstract
In some applications of data envelopment analysis (DEA) there may be doubt as to whether all the DMUs form a single group with a common efficiency distribution. The Mann-Whitney rank statistic has been used to evaluate if two groups of DMUs come from a common efficiency distribution under the assumption of them sharing a common frontier and to test if the two groups have a common frontier. These procedures have subsequently been extended using the Kruskal-Wallis rank statistic to consider more than two groups. This technical note identifies problems with the second of these applications of both the Mann-Whitney and Kruskal-Wallis rank statistics. It also considers possible alternative methods of testing if groups have a common frontier, and the difficulties of disaggregating managerial and programmatic efficiency within a non-parametric framework. © 2007 Springer Science+Business Media, LLC.
Original language | English |
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Pages (from-to) | 141-147 |
Number of pages | 7 |
Journal | Journal of Productivity Analysis |
Volume | 28 |
Issue number | 1-2 |
DOIs | |
Publication status | Published - Oct 2007 |
Bibliographical note
The original publication is available at springerlink.comKeywords
- data envelopment analysis (DEA)
- programmatic efficiency
- statistics