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Monte Carlo simulations of DEA efficiency measures and hypothesis tests

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  • Kittelsen,S.A.C.

    (University of Oslo, Department of Economics)

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  • Kittelsen,S.A.C., 1999. "Monte Carlo simulations of DEA efficiency measures and hypothesis tests," Memorandum 09/1999, Oslo University, Department of Economics.
  • Handle: RePEc:hhs:osloec:1999_009
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    File URL: http://www.sv.uio.no/econ/english/research/unpublished-works/working-papers/pdf-files/1999/Memo-09-1999.pdf
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    References listed on IDEAS

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    1. GIJBELS, Irène & MAMMEN, Enno & PARK, Byeong U. & SIMAR, Léopold, 1997. "On estimation of monotone and concave frontier functions," CORE Discussion Papers 1997031, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Tsybakov, A.B. & Korostelev, A.P. & Simar, L., 1992. "Efficient Estimation of Monotone Boundaries," Papers 9209, Catholique de Louvain - Institut de statistique.
    3. Kneip, A & Park, B-U & Simar, L, 1996. "A Note on the Convergence of Nonparametric DEA Efficiency Measures," Papers 9603, Catholique de Louvain - Institut de statistique.
    4. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    5. 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.
    6. Tulkens, Henry & Vanden Eeckaut, Philippe, 1995. "Non-frontier measures of efficiency, progress and regress for time series data," International Journal of Production Economics, Elsevier, vol. 39(1-2), pages 83-97, April.
    7. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    8. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    9. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
    10. O. B. Olesen & N. C. Petersen, 1996. "Indicators of Ill-Conditioned Data Sets and Model Misspecification in Data Envelopment Analysis: An Extended Facet Approach," Management Science, INFORMS, vol. 42(2), pages 205-219, February.
    11. O. B. Olesen & N. C. Petersen, 1995. "Chance Constrained Efficiency Evaluation," Management Science, INFORMS, vol. 41(3), pages 442-457, March.
    12. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
    13. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    14. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
    15. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Citations

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    Cited by:

    1. Ole Olesen & Niels Petersen, 2002. "The Use of Data Envelopment Analysis with Probabilistic Assurance Regions for Measuring Hospital Efficiency," Journal of Productivity Analysis, Springer, vol. 17(1), pages 83-109, January.
    2. Hallsteinli, Vidar & Kittelsen, Sverre AC & Magnussen, Jon, 2009. "Scale, efficiency and organization in Norwegian psychiatric outpatient clinics for children," HERO On line Working Paper Series 2001:8, Oslo University, Health Economics Research Programme.
    3. Sergio Destefanis & Vania Sena, 2007. "Patterns of corporate governance and technical efficiency in Italian manufacturing," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 27-40.
    4. repec:pal:jorsoc:v:58:y:2007:i:9:d:10.1057_palgrave.jors.2602247 is not listed on IDEAS
    5. Matthias Staat, 2006. "Efficiency of hospitals in Germany: a DEA-bootstrap approach," Applied Economics, Taylor & Francis Journals, vol. 38(19), pages 2255-2263.
    6. Galina Besstremyannaya & Jaak Simm & Sergei Golovan, 2017. "Robust estimation of cost efficiency in non-parametric frontier models," Working Papers w0244, Center for Economic and Financial Research (CEFIR).
    7. Hanson, Torbjørn, 2016. "Efficiency and productivity in the operational units of the armed forces: A Norwegian example," International Journal of Production Economics, Elsevier, vol. 179(C), pages 12-23.
    8. Gstach, Dieter, 1996. "A new approach to stochastic frontier estimation: DEA+," Department of Economics Working Paper Series 298, WU Vienna University of Economics and Business.
    9. Abhilash Nair & Vinod R, 2015. "Determinants of allocative, scale and scope efficiencies of Indian banks," Working papers 177, Indian Institute of Management Kozhikode.
    10. Lovell, Knox, 2001. "Future Research Opportunities in Efficiency and Productivity Analysis," Efficiency Series Papers 2001/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    11. Kittelsen, Sverre A.C. & Magnussen, Jon, 2009. "Testing DEA Models of Efficiency in Norwegian Psychiatric Outpatient Clinics," HERO On line Working Paper Series 1999:4, Oslo University, Health Economics Research Programme.
    12. Dieter Gstach, 1996. "A new approach to stochastic frontier estimation: DEA+," Department of Economics Working Papers wuwp039, Vienna University of Economics and Business, Department of Economics.
    13. Cummins, J. David & Weiss, Mary A. & Xie, Xiaoying & Zi, Hongmin, 2010. "Economies of scope in financial services: A DEA efficiency analysis of the US insurance industry," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1525-1539, July.
    14. Hawdon, David, 2003. "Efficiency, performance and regulation of the international gas industry--a bootstrap DEA approach," Energy Policy, Elsevier, vol. 31(11), pages 1167-1178, September.
    15. Kjoeserud,G.G. & Kvamme,O.J. & Kittelsen,S.A.C., 2001. "Errors in survey based quality evaluation variables in efficiency models of primary care physicians," Memorandum 24/2001, Oslo University, Department of Economics.
    16. J. Cummins & Xiaoying Xie, 2013. "Efficiency, productivity, and scale economies in the U.S. property-liability insurance industry," Journal of Productivity Analysis, Springer, vol. 39(2), pages 141-164, April.
    17. Torbjørn, Hanson, 2012. "Efficiency and Productivity in the Operational Units of the Armed Forces," Memorandum 07/2012, Oslo University, Department of Economics.
    18. Galina Besstremyannaya & Jaak Simm, 2015. "Robust non-parametric estimation of cost efficiency with an application to banking industry," Working Papers w0217, Center for Economic and Financial Research (CEFIR).
    19. Laurens Cherchye & Timo Kuosmanen & Thierry Post, 2001. "FDH Directional Distance Functions with an Application to European Commercial Banks," Journal of Productivity Analysis, Springer, vol. 15(3), pages 201-215, January.
    20. Dieter Gstach, 1998. "Another Approach to Data Envelopment Analysis in Noisy Environments: DEA+," Journal of Productivity Analysis, Springer, vol. 9(2), pages 161-176, March.

    More about this item

    Keywords

    data envelopment analysis;

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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