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Efficiency estimation and error decomposition in the stochastic frontier model: A Monte Carlo analysis

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  • Ruggiero, John

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Bibliographic Info

Article provided by Elsevier in its journal European Journal of Operational Research.

Volume (Year): 115 (1999)
Issue (Month): 3 (June)
Pages: 555-563

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Handle: RePEc:eee:ejores:v:115:y:1999:i:3:p:555-563

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References

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  1. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
  2. Banker, Rajiv D. & Gadh, Vandana M. & Gorr, Wilpen L., 1993. "A Monte Carlo comparison of two production frontier estimation methods: Corrected ordinary least squares and data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 67(3), pages 332-343, June.
  3. Gong, Byeong-Ho & Sickles, Robin C., 1992. "Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 259-284.
  4. 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 435-44, June.
  5. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
  6. 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.
  7. 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.
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Citations

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Cited by:
  1. Ruggiero, John, 2006. "Measurement error, education production and data envelopment analysis," Economics of Education Review, Elsevier, vol. 25(3), pages 327-333, June.
  2. Jens J. Krüger, 2004. "Productivity Dynamics and Structural Change in the U.S. Manufacturing Sector," Jenaer Schriften zur Wirtschaftswissenschaft 30/2004, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
  3. Das, Arabinda, 2013. "Estimation of Inefficiency using a Firm-specific Frontier Model," MPRA Paper 46168, University Library of Munich, Germany.
  4. Collier, Trevor & Johnson, Andrew L. & Ruggiero, John, 2011. "Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis," European Journal of Operational Research, Elsevier, vol. 208(2), pages 153-160, January.
  5. Krüger, Jens J., 2012. "A Monte Carlo study of old and new frontier methods for efficiency measurement," European Journal of Operational Research, Elsevier, vol. 222(1), pages 137-148.
  6. Ondrich, Jan & Ruggiero, John, 2001. "Efficiency measurement in the stochastic frontier model," European Journal of Operational Research, Elsevier, vol. 129(2), pages 434-442, March.
  7. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
  8. Jens J. Krüger, 2004. "Using the Manufacturing Productivity Distribution to Evaluate Growth Theories," Jenaer Schriften zur Wirtschaftswissenschaft 16/2004, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
  9. Ruggiero, John, 2003. "Rejoinder," Economics of Education Review, Elsevier, vol. 22(6), pages 639-640, December.
  10. Varabyova, Yauheniya & Schreyögg, Jonas, 2013. "International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches," Health Policy, Elsevier, vol. 112(1), pages 70-79.
  11. Kruger, Jens J., 2006. "Using the manufacturing productivity distribution to evaluate growth theories," Structural Change and Economic Dynamics, Elsevier, vol. 17(2), pages 248-258, June.
  12. Kao, Chiang & Liu, Shiang-Tai, 2009. "Stochastic data envelopment analysis in measuring the efficiency of Taiwan commercial banks," European Journal of Operational Research, Elsevier, vol. 196(1), pages 312-322, July.
  13. Kao, Chiang & Liu, Shiang-Tai, 2014. "Measuring performance improvement of Taiwanese commercial banks under uncertainty," European Journal of Operational Research, Elsevier, vol. 235(3), pages 755-764.
  14. Jens J. Krueger, 2003. "On the Dynamics of the U.S. Manufacturing Productivity Distribution," Jenaer Schriften zur Wirtschaftswissenschaft 05/2003, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
  15. Ruggiero, John, 2003. "Comment on estimating school efficiency," Economics of Education Review, Elsevier, vol. 22(6), pages 631-634, December.
  16. Mark Andor & Frederik Hesse, 2014. "The StoNED age: the departure into a new era of efficiency analysis? A monte carlo comparison of StoNED and the “oldies” (SFA and DEA)," Journal of Productivity Analysis, Springer, vol. 41(1), pages 85-109, February.

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