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Fractional regression models for second stage DEA efficiency analyses

2010Journal article Open access
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dc.contributor.authorRamalho, Esmeralda A.
dc.contributor.authorRamalho, Joaquim J.S.
dc.contributor.authorHenriques, Pedro D.
dc.date.accessioned2023-11-08T09:44:35Z
dc.date.available2023-11-08T09:44:35Z
dc.date.issued2010
dc.description.abstractData envelopment analysis (DEA) is commonly used to measure the relative efficiency of decision-making 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 discussedpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRamalho, Esmeralda A.; Joaquim J.S. Ramalho and Pedro D. Henriques .(2010). “Fractional regression models for second stage DEA efficiency analyses”. Journal of Productivity Analysis, Vol. 34: pp. 239–255. (Search PDF in 2023).pt_PT
dc.identifier.doiDOI: 10.1007/s11123-010-0184-0pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/29324
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.subjectSecond-Stage DEApt_PT
dc.subjectFractional Datapt_PT
dc.subjectSpecification Testspt_PT
dc.subjectOne Outcomespt_PT
dc.subjectTwo-Part Modelspt_PT
dc.titleFractional regression models for second stage DEA efficiency analysespt_PT
dc.typejournal article
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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