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Another Approach to Data Envelopment Analysis in Noisy Environments: DEA+

Citations

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Cited by:

  1. Rajiv Banker & Surya Janakiraman & Ram Natarajan, 2002. "Evaluating the Adequacy of Parametric Functional Forms in Estimating Monotone and Concave Production Functions," Journal of Productivity Analysis, Springer, vol. 17(1), pages 111-132, January.
  2. Léopold Simar & Valentin Zelenyuk, 2011. "Stochastic FDH/DEA estimators for frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(1), pages 1-20, August.
  3. Laurens Cherchye & Timo Kuosmanen & Thierry Post, 2000. "New Tools for Dealing with Errors-in-Variables in DEA," Public Economics Working Paper Series ces0006, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics.
  4. Raushan Bokusheva & Heinrich Hockmann, 2006. "Production risk and technical inefficiency in Russian agriculture," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 33(1), pages 93-118, March.
  5. Wang, Sun Ling & Newton, Doris J., 2015. "Productivity and Efficiency of U.S. Field Crop Farms: A Look at Farm Size and Operator’s Gender," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205344, Agricultural and Applied Economics Association.
  6. Umi Mahmudah & Muhamad Safiih Lola, 2018. "Robust approach for efficiency measurement of employee performance under profit sharing system," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 10(1), pages 1-7, April.
  7. Kuosmanen, Timo & Saastamoinen, Antti & Sipiläinen, Timo, 2013. "What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods," Energy Policy, Elsevier, vol. 61(C), pages 740-750.
  8. Wanke, Peter & Barros, C.P. & Figueiredo, Otávio, 2016. "Efficiency and productive slacks in urban transportation modes: A two-stage SDEA-Beta Regression approach," Utilities Policy, Elsevier, vol. 41(C), pages 31-39.
  9. Banker, Rajiv D. & Zheng, Zhiqiang (Eric) & Natarajan, Ram, 2010. "DEA-based hypothesis tests for comparing two groups of decision making units," European Journal of Operational Research, Elsevier, vol. 206(1), pages 231-238, October.
  10. Vaninsky, Alexander, 2018. "Energy-environmental efficiency and optimal restructuring of the global economy," Energy, Elsevier, vol. 153(C), pages 338-348.
  11. Quinn Weninger, 2008. "Economic Benefits of Management Reform in the Gulf of Mexico Grouper Fishery: A Semi-parametric Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(4), pages 479-497, December.
  12. Ram Pratap Sinha, 2017. "Efficiency-solvency linkage of Indian general insurance companies: a robust non-parametric approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(3), pages 353-370, December.
  13. Andrew Johnson & Timo Kuosmanen, 2011. "One-stage estimation of the effects of operational conditions and practices on productive performance: asymptotically normal and efficient, root-n consistent StoNEZD method," Journal of Productivity Analysis, Springer, vol. 36(2), pages 219-230, October.
  14. Parmeter, Christopher F., 2021. "Is it MOLS or COLS?," Efficiency Series Papers 2021/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
  15. Frantisek Brazdik, 2005. "Oriented stochastic data envelopment models: Ranking comparison to stochastic frontier approach," CERGE-EI Working Papers wp271, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  16. Dekker, David & Post, Thierry, 2001. "A quasi-concave DEA model with an application for bank branch performance evaluation," European Journal of Operational Research, Elsevier, vol. 132(2), pages 296-311, July.
  17. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
  18. Holland, D. S. & Lee, S. T., 2002. "Impacts of random noise and specification on estimates of capacity derived from data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 137(1), pages 10-21, February.
  19. Brandon Pope & Andrew Johnson, 2013. "Returns to scope: a metric for production synergies demonstrated for hospital production," Journal of Productivity Analysis, Springer, vol. 40(2), pages 239-250, October.
  20. Johnson, Andrew L. & Kuosmanen, Timo, 2012. "One-stage and two-stage DEA estimation of the effects of contextual variables," European Journal of Operational Research, Elsevier, vol. 220(2), pages 559-570.
  21. Timo Kuosmanen & Andrew L. Johnson, 2010. "Data Envelopment Analysis as Nonparametric Least-Squares Regression," Operations Research, INFORMS, vol. 58(1), pages 149-160, February.
  22. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
  23. Banker, Rajiv & Natarajan, Ram & Zhang, Daqun, 2019. "Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using Data Envelopment Analysis: Second stage OLS versus bootstrap approaches," European Journal of Operational Research, Elsevier, vol. 278(2), pages 368-384.
  24. Chung, William, 2011. "Review of building energy-use performance benchmarking methodologies," Applied Energy, Elsevier, vol. 88(5), pages 1470-1479, May.
  25. Thierry Post, 2001. "Performance Evaluation in Stochastic Environments Using Mean-Variance Data Envelopment Analysis," Operations Research, INFORMS, vol. 49(2), pages 281-292, April.
  26. Shuji Yao & Zhongwei Han & Dan Luo, 2010. "Performance of the Chinese Insurance Industry under Economic Reforms," Books, Edward Elgar Publishing, number 12788.
  27. Desai, Anand & Ratick, Samuel J. & Schinnar, Arie P., 2005. "Data envelopment analysis with stochastic variations in data," Socio-Economic Planning Sciences, Elsevier, vol. 39(2), pages 147-164, June.
  28. 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.
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