Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/65746 
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dc.contributor.authorTziogkidis, Panagiotisen
dc.date.accessioned2012-09-04-
dc.date.accessioned2012-11-02T14:27:12Z-
dc.date.available2012-11-02T14:27:12Z-
dc.date.issued2012-
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
dc.language.isoengen
dc.publisher|aCardiff University, Cardiff Business School |cCardiffen
dc.relation.ispartofseries|aCardiff Economics Working Papers |xE2012/18en
dc.subject.jelC12en
dc.subject.jelC14en
dc.subject.jelC15en
dc.subject.jelC61en
dc.subject.jelC67en
dc.subject.ddc330en
dc.subject.keywordData Envelopment Analysisen
dc.subject.keywordEfficiencyen
dc.subject.keywordBootstrapen
dc.subject.keywordBootstrap DEAen
dc.subject.keywordHypothesis Testingen
dc.titleBootstrap DEA and hypothesis testing-
dc.typeWorking Paperen
dc.identifier.ppn723754195en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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