Validating DEA as a ranking tool: An application of DEA to assess performance in higher education
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There is a general interest in ranking schemes applied to complex entities described by multiple attributes. Published rankings for universities are in great demand but are also highly controversial. We compare two classification and ranking schemes involving universities; one from a published report, ‘Top American Research Universities’ by the University of Florida's TheCenter and the other using DEA. Both approaches use the same data and model. We compare the two methods and discover important equivalences. We conclude that the critical aspect in classification and ranking is the model. This suggests that DEA is a suitable tool for these types of studies.
KeywordsNonparametric efficient frontiers Data envelopment analysis (DEA) Tiered data envelopment analysis (TDEA) Linear programming
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