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Modeling Blank Data Entries in Data Envelopment Analysis

  • Timo Kuosmanen

    (Wageningen University)

We show how Data Envelopment Analysis (DEA) can handle missing data. When blank data entries are coded by appropriate dummy values, the DEA model automatically excludes the missing data from the analysis. We extend this result to weight-restricted DEA models by presenting a simple modification to the usual weight restrictions, which automatically relaxes the weight restriction in case of missing data. Our approach is illustrated by a case study, describing an application to international sustainable development indices.

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File URL: http://128.118.178.162/eps/em/papers/0210/0210001.pdf
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Paper provided by EconWPA in its series Econometrics with number 0210001.

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Date of creation: 08 Oct 2002
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Handle: RePEc:wpa:wuwpem:0210001
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Contact details of provider: Web page: http://128.118.178.162

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  1. Cherchye, Laurens & Kuosmanen, Timo, 2004. "Benchmarking Sustainable Development: A Synthetic Meta-index Approach," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
  2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  3. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
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