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dc.contributor.authorTziogkidis, Panagiotisen_US
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_US
dc.publisherCardiff University, Cardiff Business School Cardiffen_US
dc.relation.ispartofseriesCardiff Economics Working Papers E2012/19en_US
dc.subject.keywordData Envelopment Analysisen_US
dc.subject.keywordBootstrap DEAen_US
dc.subject.keywordMonte Carloen_US
dc.titleMonte Carlo experiments on bootstrap DEAen_US
dc.typeWorking Paperen_US
Appears in Collections:Cardiff Economics Working Papers, Cardiff Business School, Cardiff University

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