Non-homogeneity in Data Envelopment Analysis

Mar Molinero, Cecilio (2008) Non-homogeneity in Data Envelopment Analysis. Working paper. University of Kent Canterbury, Canterbury (Full text available)

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Data Envelopment Analysis requires all the units that are being compared to be homogeneous. One of the homogeneity requirements is that they all share the same inputs and outputs. In practice this is often not the case, as some units carry out more activities than others and may use more inputs to create more outputs than the rest. In an extreme case, some Decision Making Units (DMUs) may specialise in a single activity while others may aim for diversification. We present a new model that can estimate efficiencies for the various activities, even when some DMUs do not engage in some of the activities and do not share the same set of inputs/outputs with the remaining DMUS. The model is demonstrated with some data from the literature.

Item Type: Monograph (Working paper)
Additional information: Working Paper Number 163
Uncontrolled keywords: Data Envelopment Analysis, Homogeneity, Multi-activity DEA
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Faculties > Social Sciences > Kent Business School > Management Science
Depositing User: Jennifer Knapp
Date Deposited: 01 Sep 2010 11:31 UTC
Last Modified: 30 May 2014 10:06 UTC
Resource URI: (The current URI for this page, for reference purposes)
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