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Non-discretionary and discretionary factors and scale in data envelopment analysis

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  • Syrjanen, Mikko J.
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    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 158 (2004)
    Issue (Month): 1 (October)
    Pages: 20-33

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    Handle: RePEc:eee:ejores:v:158:y:2004:i:1:p:20-33

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    1. Yu, Chunyan, 1998. "The effects of exogenous variables in efficiency measurement--A monte carlo study," European Journal of Operational Research, Elsevier, vol. 105(3), pages 569-580, March.
    2. Niels Christian Petersen, 1990. "Data Envelopment Analysis on a Relaxed Set of Assumptions," Management Science, INFORMS, vol. 36(3), pages 305-314, March.
    3. Lovell, C.A.K., 1993. "Linear Programming Approaches to the Measurement and Analysis of Productive Efficiency," Papers 393e, Georgia - College of Business Administration, Department of Economics.
    4. 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.
    5. Ruggiero, John, 1996. "On the measurement of technical efficiency in the public sector," European Journal of Operational Research, Elsevier, vol. 90(3), pages 553-565, May.
    6. Fried, Harold O. & Knox Lovell, C. A. & Eeckaut, Philippe Vanden, 1993. "Evaluating the performance of US credit unions," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 251-265, April.
    7. Ruggiero, John, 1998. "Non-discretionary inputs in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 111(3), pages 461-469, December.
    8. Peter Bogetoft, 1996. "DEA on Relaxed Convexity Assumptions," Management Science, INFORMS, vol. 42(3), pages 457-465, March.
    9. Subhash C. Ray, 1991. "Resource-Use Efficiency in Public Schools: A Study of Connecticut Data," Management Science, INFORMS, vol. 37(12), pages 1620-1628, December.
    10. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    11. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    12. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    13. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    14. Rajiv D. Banker & Richard C. Morey, 1986. "The Use of Categorical Variables in Data Envelopment Analysis," Management Science, INFORMS, vol. 32(12), pages 1613-1627, December.
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    Cited by:
    1. Podinovski, Victor V. & Bouzdine-Chameeva, Tatiana, 2011. "The impossibility of convex constant returns-to-scale production technologies with exogenously fixed factors," European Journal of Operational Research, Elsevier, vol. 213(1), pages 119-123, August.
    2. Yu, Ming-Miin & Chern, Ching-Chin & Hsiao, Bo, 2013. "Human resource rightsizing using centralized data envelopment analysis: Evidence from Taiwan's Airports," Omega, Elsevier, vol. 41(1), pages 119-130.
    3. Hsiang-Hsi Liu & Tser-Yieth Chen & Jia-Wen Chen, 2013. "Incorporating the Credit Ranking Measure to Evaluate the Operating Efficiency of Financial Holding Companies in Taiwan," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(10), pages 1386-1404, October.
    4. Tiemann, Oliver & Schreyögg, Jonas, 2011. "Changes in hospital efficiency after privatization," hche Research Papers 2011/02, Hamburg Center for Health Economics (hche), University of Hamburg.
    5. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.

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