Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/65746
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dc.contributor.authorTziogkidis, Panagiotisen_US
dc.date.accessioned2012-09-04en_US
dc.date.accessioned2012-11-02T14:27:12Z-
dc.date.available2012-11-02T14:27:12Z-
dc.date.issued2012en_US
dc.identifier.urihttp://hdl.handle.net/10419/65746-
dc.description.abstractBootstrapping non-parametric models is a fairly complicated exercise which is associated with implicit assumptions or requirements that are not always obvious to the non-expert user. Bootstrap DEA is a significant development of the past decade; however, some of its assumptions and properties are still quite unclear, which may lead to mistakes in implementation and hypothesis testing. This paper clarifies these issues and proposes a hypothesis testing procedure, along with its limitations, which could be extended to test almost any hypothesis in bootstrap DEA. Moreover, it enhances the intuition behind bootstrap DEA and highlights logical and theoretical pitfalls that should be avoided.en_US
dc.language.isoengen_US
dc.publisher|aCardiff University, Cardiff Business School |cCardiffen_US
dc.relation.ispartofseries|aCardiff Economics Working Papers |xE2012/18en_US
dc.subject.jelC12en_US
dc.subject.jelC14en_US
dc.subject.jelC15en_US
dc.subject.jelC61en_US
dc.subject.jelC67en_US
dc.subject.ddc330en_US
dc.subject.keywordData Envelopment Analysisen_US
dc.subject.keywordEfficiencyen_US
dc.subject.keywordBootstrapen_US
dc.subject.keywordBootstrap DEAen_US
dc.subject.keywordHypothesis Testingen_US
dc.titleBootstrap DEA and hypothesis testingen_US
dc.typeWorking Paperen_US
dc.identifier.ppn723754195en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US

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