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A statistical test for detecting influential observations in DEA

✍ Scribed by Jesús T. Pastor; José L. Ruiz; Inmaculada Sirvent

Book ID
104339800
Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
171 KB
Volume
115
Category
Article
ISSN
0377-2217

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✦ Synopsis

This paper deals with the problem of detecting in¯uential observations in deterministic nonparametric DEA models. The technique we present is intended to classify for a further analysis those sample observations considerably aecting the measured eciency for the remaining units. Then, the analyst will have to check whether these observations are contaminated by data errors or not. This approach also allows to determine when eciency changes due to the presence of a given unit in the sample are statistically signi®cant. Thus, ours is a statistical alternative to approach the problem of detecting in¯uential observations in deterministic nonparametric DEA models.

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