Data envelopment analysis with missing data

Timo Kuosmanen

Journal of the Operational Research Society, 2009, vol. 60, issue 12, 1767-1774

Abstract: Abstract A first systematic attempt to use data containing missing values in data envelopment analysis (DEA) is presented. It is formally shown that allowing missing values into the data set can only improve estimation of the best-practice frontier. Technically, DEA can automatically exclude the missing data from the analysis if blank data entries are coded by appropriate numerical values.

Keywords: data envelopment analysis; efficiency measurement; missing data (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (11)

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DOI: 10.1057/jors.2008.132

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