A Note on Imposing Strong Complementary Slackness Conditions in DEA
AbstractA new DEA model has been introduced recently combining the primal and the dual models in order to impose strong complementary slackness conditions. It was claimed that a reference set that contains the maximum number of efficient units can then be determined. The model is very interesting as a theoretical idea. However, not only does the computational burden increase significantly, but it seems also that the basic matrices may be inherently ill-conditioned, leading to wrong results. Numerical experiments have been carried out on two real datasets of medium size with 163 and 920 units. These experiments show pervasive existence of ill-conditioned matrices leading to obviously wrong estimates of efficiency scores, and units declared as efficient reference units while actually being inefficient.
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Bibliographic InfoPaper provided by Oslo University, Department of Economics in its series Memorandum with number 17/2010.
Length: 16 pages
Date of creation: 03 Jan 2011
Date of revision:
Publication status: Published as Krivonozhko, Vladimir, Finn R. Førsund and Andrey V. Lychev, 'A Note on Imposing Strong Complementary Slackness Conditions in DEA' in european journal of operational research, 2012, pages 716-721.
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Data envelopment analysis; BCC model; DEA/SCSC model; strong complementary slackness conditions;
Other versions of this item:
- Krivonozhko, Vladimir E. & Førsund, Finn R. & Lychev, Andrey V., 2012. "A note on imposing strong complementary slackness conditions in DEA," European Journal of Operational Research, Elsevier, vol. 220(3), pages 716-721.
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- D20 - Microeconomics - - Production and Organizations - - - General
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- Vladimir Krivonozhko & Finn Førsund & Andrey Lychev, 2012.
"Returns-to-scale properties in DEA models: the fundamental role of interior points,"
Journal of Productivity Analysis,
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- Krivonozhko, Vladimir & Førsund, Finn R., 2009. "Returms-to-scale Properties in DEA Models: The Fundamental Role of Interior Points," Memorandum 15/2009, Oslo University, Department of Economics.
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- Finn Førsund & Lennart Hjalmarsson & Vladimir Krivonozhko & Oleg Utkin, 2007. "Calculation of scale elasticities in DEA models: direct and indirect approaches," Journal of Productivity Analysis, Springer, vol. 28(1), pages 45-56, October.
- Sueyoshi, Toshiyuki & Sekitani, Kazuyuki, 2007. "Measurement of returns to scale using a non-radial DEA model: A range-adjusted measure approach," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1918-1946, February.
- Krivonozhko, Vladimir E. & Førsund, Finn R. & Lychev, Andrey V., 2012. "Measurement of Returns to Scale Using Non-Radial DEA Models," Memorandum 29/2012, Oslo University, Department of Economics.
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