Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/65806 
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dc.contributor.authorTziogkidis, Panagiotisen
dc.date.accessioned2012-09-04-
dc.date.accessioned2012-11-02T14:29:09Z-
dc.date.available2012-11-02T14:29:09Z-
dc.date.issued2012-
dc.identifier.urihttp://hdl.handle.net/10419/65806-
dc.description.abstractSince the introduction of bootstrap DEA there is a growing literature on applications which use this method, mainly for hypothesis testing. It is therefore important to establish the consistency and evaluate the performance of bootstrap DEA. The few Monte Carlo experiments in the literature perform this exercise on the basis of coverage probabilities, using a certain population assumption and usually they analyze the simple case of 1 input and 1 output. However, it has been argued recently that coverage probabilities are not a good tool of assessment. In our study we evaluate the performance of bootstrap DEA using the standard approach of comparing moments. We use three different data generating processes over three different dimensions while for each case we compare results from both the smooth and naive bootstrap. Our results are not in accordance with previous studies, as we find that the smooth bootstrap performs overall worse while we highlight the cases where the researcher should be cautious when using these techniques.en
dc.language.isoengen
dc.publisher|aCardiff University, Cardiff Business School |cCardiffen
dc.relation.ispartofseries|aCardiff Economics Working Papers |xE2012/19en
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.keywordMonte Carloen
dc.titleMonte Carlo experiments on bootstrap DEA-
dc.typeWorking Paperen
dc.identifier.ppn723754462en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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