A new method for detecting outliers in Data Envelopment Analysis

Details

Author(s):
N.A. Tran; G. Shively; P. Preckel

Type of Document:
Scholarly Article

 

Publisher/Journal:
Routledge Press

Date of Publication:
2008

Place of Publication:
Oxford, UK

Links
Description

We introduce a simple method for detecting outliers in Data Envelopment Analysis. The method is based on two scalar measures. The first is the relative frequency with which an observation appears in the construction of the frontier when testing the efficiency of other observations, and the second is the cumulative weight of an observation in the construction of the frontier. We provide a link to computer programming code for implementing the procedure.

Additional Bibliographic Information

Applied Economics Letters, 17(4):313-316

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