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DEA, directional distance functions and positive, affine data transformation

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  • Färe, Rolf
  • Grosskopf, Shawna

Abstract

In this paper we take up the problem of positive, affine data translation within a Data Envelopment Analysis (DEA) framework.

Suggested Citation

  • Färe, Rolf & Grosskopf, Shawna, 2013. "DEA, directional distance functions and positive, affine data transformation," Omega, Elsevier, vol. 41(1), pages 28-30.
    • Handle: RePEc:eee:jomega:v:41:y:2013:i:1:p:28-30
    DOI: 10.1016/j.omega.2011.07.011
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    References listed on IDEAS

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    1. 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.
    2. Wade D. Cook & Joe Zhu, 2007. "Data Irregularities And Structural Complexities In Dea," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 1-11, Springer.
    3. Wade D. Cook & Joe Zhu, 2007. "Rank Order Data In Dea," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 13-34, Springer.
    4. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
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    Cited by:

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    2. Mehdiloozad, Mahmood & Sahoo, Biresh K. & Roshdi, Israfil, 2014. "A generalized multiplicative directional distance function for efficiency measurement in DEA," European Journal of Operational Research, Elsevier, vol. 232(3), pages 679-688.
    3. Colesnic, Olga & Kounetas, Konstantinos & Michael, Polemis, 2020. "Estimating risk efficiency in Middle East banks before and after the crisis: A metafrontier framework," Global Finance Journal, Elsevier, vol. 46(C).
    4. Charles, Vincent & Färe, Rolf & Grosskopf, Shawna, 2016. "A translation invariant pure DEA model," European Journal of Operational Research, Elsevier, vol. 249(1), pages 390-392.
    5. Imre Dobos & Gyöngyi Vörösmarty, 2019. "Evaluating green suppliers: improving supplier performance with DEA in the presence of incomplete data," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(2), pages 483-495, June.
    6. Branda, Martin, 2015. "Diversification-consistent data envelopment analysis based on directional-distance measures," Omega, Elsevier, vol. 52(C), pages 65-76.
    7. Davutyan, Nurhan & Bilsel, Murat & Tarcan, Menderes, 2015. "Migration, Risk-Adjusted Mortality, Varieties of Congestion and Patient Satisfaction in Turkish Provincial General Hospitals," Data Envelopment Analysis Journal, now publishers, vol. 1(2), pages 135-169, July.
    8. Aparicio, Juan & Pastor, Jesus T. & Vidal, Fernando, 2016. "The directional distance function and the translation invariance property," Omega, Elsevier, vol. 58(C), pages 1-3.
    9. Taylan G. Topcu & Konstantinos Triantis, 2022. "An ex-ante DEA method for representing contextual uncertainties and stakeholder risk preferences," Annals of Operations Research, Springer, vol. 309(1), pages 395-423, February.
    10. Muralidharan Loganathan & M. H. Bala Subrahmanya, 2023. "Efficiency of Entrepreneurial Universities in India: A Data Envelopment Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1120-1144, June.
    11. Panayiotis Tzeremes, 2020. "Productivity, efficiency and firm’s market value: Microeconomic evidence from multinational corporations," Bulletin of Applied Economics, Risk Market Journals, vol. 7(1), pages 95-105.

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