Data envelopment analysis with heterogeneous data: an application
J K Sengupta ()
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J K Sengupta: University of California
Journal of the Operational Research Society, 2005, vol. 56, issue 6, 676-686
Abstract:
Abstract The effects of data heterogeneity on the efficiency estimate by data envelopment analysis are evaluated here in terms of empirical applications in the computer industry. Scale or size variations of firms and heteroscedasticity are the two forms of heterogeneity considered here. Our empirical results show that the adverse effects of data heterogeneity can be considerably reduced by the methods suggested here.
Keywords: heteroscedasticity; size variations; cost frontier; minimum efficient scale (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:pal:jorsoc:v:56:y:2005:i:6:d:10.1057_palgrave.jors.2601861
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DOI: 10.1057/palgrave.jors.2601861
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