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Title: Fractional regression models for second stage DEA efficiency analyses
Authors: Ramalho, Esmeralda
Ramalho, Joaquim
Henriques, P.D.
Keywords: second-stage DEA
fractional data
specification tests
one outcomes
two-part models
Issue Date: 2010
Publisher: Springer
Citation: Ramalho, E.A., J.J.S. Ramalho and P.D. Henriques (2010), "Fractional regression models for second stage DEA efficiency analyses", Journal of Productivity Analysis, 34(3), 239-255.
Abstract: Data envelopment analysis (DEA) is commonly used to measure the relative efficiency of decisionmaking units. Often, in a second stage, a regression model is estimated to relate DEA efficiency scores to exogenous factors. In this paper, we argue that the traditional linear or tobit approaches to second-stage DEA analysis do not constitute a reasonable data-generating process for DEA scores. Under the assumption that DEA scores can be treated as descriptive measures of the relative performance of units in the sample, we show that using fractional regression models is the most natural way of modeling bounded, proportional response variables such as DEA scores. We also propose generalizations of these models and, given that DEA scores take frequently the value of unity, examine the use of two-part models in this framework. Several tests suitable for assessing the specification of each alternative model are also discussed.
Type: article
Appears in Collections:CEFAGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
ECN - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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