A new method for detecting outliers in Data Envelopment Analysis

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dc.contributor.authorTran, N. A.en
dc.contributor.authorShively, Gerald E.en
dc.contributor.authorPreckel, P.en
dc.contributor.departmentSustainable Agriculture and Natural Resource Management (SANREM) Knowledgebaseen
dc.date.accessioned2016-04-19T19:20:13Zen
dc.date.available2016-04-19T19:20:13Zen
dc.date.issued2008en
dc.descriptionMetadata only recorden
dc.description.abstractWe 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.en
dc.description.notesSysCoor-5 (Policy and Governance)en
dc.format.mimetypetext/plainen
dc.identifier2660en
dc.identifier.citationApplied Economics Letters, 17(4):313-316en
dc.identifier.doihttps://doi.org/10.1080/13504850701765119en
dc.identifier.issn1350-4851en
dc.identifier.issn1466-4291en
dc.identifier.urihttp://hdl.handle.net/10919/67086en
dc.language.isoen_USen
dc.publisherOxford, UK: Routledgeen
dc.rightsIn Copyrighten
dc.rights.holderCopyright 2008 Taylor and Francis Groupen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectEconomic analysesen
dc.subjectFarm/Enterprise Scaleen
dc.titleA new method for detecting outliers in Data Envelopment Analysisen
dc.typeAbstracten
dc.type.dcmitypeTexten

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