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Stochastic Efficiency Analysis

In: Dynamic And Stochastic Efficiency Analysis Economics of Data Envelopment Analysis

Citations

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Cited by:

  1. Afonso, Antonio & St. Aubyn, Miguel, 2005. "Non-Parametric Approaches to Education and Health Efficiency in OECD Countries," Journal of Applied Economics, Universidad del CEMA, vol. 8(2), pages 1-20, November.
  2. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
  3. Avkiran, Necmi K. & Parker, Barnett R., 2010. "Pushing the DEA research envelope," Socio-Economic Planning Sciences, Elsevier, vol. 44(1), pages 1-7, March.
  4. Alireza Amirteimoori & Biresh K. Sahoo & Saber Mehdizadeh, 2023. "Data envelopment analysis for scale elasticity measurement in the stochastic case: with an application to Indian banking," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-36, December.
  5. Petros Hadjicostas & Andreas Soteriou, 2010. "Different orders of one-sided scale elasticities in multi-output production," Journal of Productivity Analysis, Springer, vol. 33(2), pages 147-167, April.
  6. Lee, Chia-Yen & Johnson, Andrew L., 2014. "Proactive data envelopment analysis: Effective production and capacity expansion in stochastic environments," European Journal of Operational Research, Elsevier, vol. 232(3), pages 537-548.
  7. Badin, Luiza & Daraio, Cinzia & Simar, Léopold, 2010. "Optimal bandwidth selection for conditional efficiency measures: A data-driven approach," European Journal of Operational Research, Elsevier, vol. 201(2), pages 633-640, March.
  8. Simar, Léopold & Vanhems, Anne, 2012. "Probabilistic characterization of directional distances and their robust versions," Journal of Econometrics, Elsevier, vol. 166(2), pages 342-354.
  9. Sengupta, Jati K., 2005. "Nonparametric efficiency analysis under uncertainty using data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 95(1), pages 39-49, January.
  10. Cinzia Daraio & Léopold Simar, 2007. "Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach," Journal of Productivity Analysis, Springer, vol. 28(1), pages 13-32, October.
  11. Phillip Fanchon, 2003. "Variable selection for dynamic measures of efficiency in the computer industry," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 9(3), pages 175-188, August.
  12. Paulo Matos & Guilherme Padilha & Maurício Benegas, 2016. "On the management efficiency of Brazilian stock mutual funds," Operational Research, Springer, vol. 16(3), pages 365-399, October.
  13. Daraio, Cinzia & Simar, Leopold, 2006. "A robust nonparametric approach to evaluate and explain the performance of mutual funds," European Journal of Operational Research, Elsevier, vol. 175(1), pages 516-542, November.
  14. Antonio Afonso & Ludger Schuknecht & Vito Tanzi, 2010. "Public sector efficiency: evidence for new EU member states and emerging markets," Applied Economics, Taylor & Francis Journals, vol. 42(17), pages 2147-2164.
  15. Vaninsky, Alexander, 2018. "Energy-environmental efficiency and optimal restructuring of the global economy," Energy, Elsevier, vol. 153(C), pages 338-348.
  16. Michael Devaney & William Weber, 2005. "Efficiency, Scale Economies, and the Risk/Return Performance of Real Estate Investment Trusts," The Journal of Real Estate Finance and Economics, Springer, vol. 31(3), pages 301-317, November.
  17. Afonso, António & Fernandes, Sónia, 2008. "Assessing and explaining the relative efficiency of local government," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(5), pages 1946-1979, October.
  18. Àlexandr Knobel & Ilya Sokolov & Elizaveta Khudko, 2011. "The Impact of State Expenditure on the Quality of General Education in Russia," Research Paper Series, Gaidar Institute for Economic Policy, issue 152P.
  19. repec:cdl:ucsbec:11-02 is not listed on IDEAS
  20. Daouia, Abdelaati & Simar, Leopold, 2007. "Nonparametric efficiency analysis: A multivariate conditional quantile approach," Journal of Econometrics, Elsevier, vol. 140(2), pages 375-400, October.
  21. Fusco, Elisa & Vidoli, Francesco & Sahoo, Biresh K., 2018. "Spatial heterogeneity in composite indicator: A methodological proposal," Omega, Elsevier, vol. 77(C), pages 1-14.
  22. António Afonso & Miguel St. Aubyn, 2004. "Non-parametric Approaches to Education and Health Expenditure Efficiency in OECD Countries," Working Papers Department of Economics 2004/01, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
  23. Kang, Chao-Chung & Wu, Chin-Chia, 2013. "Statistical precision of productivity change: A bootstrap application to Taiwan’s telecommunications industry," Telecommunications Policy, Elsevier, vol. 37(11), pages 1015-1032.
  24. António Afonso & Sónia Fernandes, 2005. "Assessing and Explaining the Relative Efficiency of Local Government: Evidence for Portuguese Municipalities," Working Papers Department of Economics 2005/19, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
  25. M. Agovino & A. Rapposelli, 2013. "Inclusion of disabled people in the Italian labour market: an efficiency analysis of law 68/1999 at regional level," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1577-1588, April.
  26. Sengupta, Jati K., 2002. "Nonparametric efficiency analysis under uncertainty," University of California at Santa Barbara, Economics Working Paper Series qt2v99q0sr, Department of Economics, UC Santa Barbara.
  27. Sahoo, Biresh K. & Singh, Ramadhar & Mishra, Bineet & Sankaran, Krithiga, 2017. "Research productivity in management schools of India during 1968-2015: A directional benefit-of-doubt model analysis," Omega, Elsevier, vol. 66(PA), pages 118-139.
  28. repec:fth:calaec:11-02 is not listed on IDEAS
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