Efficiency measurement for multi-product industries: A comparison of classic and recent techniques based on simulated data

Citations

Cited by:

1. 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.
   • Andor, Mark & Hesse, Frederik, 2013. "The StoNED Age: The Departure Into a New Era of Efficiency Analysis? – A Monte Carlo Comparison of StoNED and the "Oldies" (SFA and DEA)," Ruhr Economic Papers 394, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
2. Mark Andor & Frederik Hesse, "undated". "The StoNED age: The Departure Into a New Era of Efficiency Analysis? An MC study Comparing StoNED and the "Oldies" (SFA and DEA)," Working Papers 201285, Institute of Spatial and Housing Economics, Munster Universitary.
   • Andor, Mark & Hesse, Frederik, 2012. "The StoNED age: The departure into a new era of efficiency analysis? An MC study comparing StoNED and the "oldies" (SFA and DEA)," CAWM Discussion Papers 60, University of Münster, Münster Center for Economic Policy (MEP).
   • Andor, Mark & Hesse, Frederik, 2013. "The StoNED age: The Departure Into a New Era of Efficiency Analysis? A MC Study Comparing StoNED and the "Oldies" (SFA and DEA)," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79849, Verein für Socialpolitik / German Economic Association.
3. Antonio A. Pinto & Susana Fischer & Rosemarie Wilckens & Luis Bustamante & Marisol T. Berti, 2021. "Production Efficiency and Total Protein Yield in Quinoa Grown under Water Stress," Agriculture, MDPI, vol. 11(11), pages 1-18, November.
4. Mark Andor & Frederik Hesse, "undated". "A Monte Carlo Simulation comparing DEA, SFA and two simple approaches to combine efficiency estimates," Working Papers 201177, Institute of Spatial and Housing Economics, Munster Universitary.
   • Andor, Mark & Hesse, Frederik, 2011. "A Monte Carlo simulation comparing DEA, SFA and two simple approaches to combine efficiency estimates," CAWM Discussion Papers 51, University of Münster, Münster Center for Economic Policy (MEP).
5. Galina Besstremyannaya & Jaak Simm, 2015. "Robust non-parametric estimation of cost efficiency with an application to banking industry," Working Papers w0217, New Economic School (NES).
6. Tortosa-Ausina, Emili, 2004. "An alternative conditioning scheme to explain efficiency differentials in banking," Economics Letters, Elsevier, vol. 82(2), pages 147-155, February.
7. Mark Andor & Christopher F. Parmeter & Stephan Sommer, 2018. "Combining Uncertainty with Uncertainty to Get Certainty? Efficiency Analysis for Regulation Purposes," Working Papers 2018-02, University of Miami, Department of Economics.
8. Ahn, Heinz & Clermont, Marcel & Langner, Julia, 2023. "Comparative performance analysis of frontier-based efficiency measurement methods – A Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 307(1), pages 294-312.
9. Chunping Liu & Audrey Laporte & Brian S. Ferguson, 2008. "The quantile regression approach to efficiency measurement: insights from Monte Carlo simulations," Health Economics, John Wiley & Sons, Ltd., vol. 17(9), pages 1073-1087, September.
   • ChunpingLiu & Audrey Laporte & Brian Ferguson, 2007. "The Quantile Regression Approach to Efficiency Measurement: Insights from Monte Carlo Simulations," Health, Econometrics and Data Group (HEDG) Working Papers 07/14, HEDG, c/o Department of Economics, University of York.
10. 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).
11. Jamal Ali Al-Khasawneh & Naceur Essaddam & Salah A. Nusair & Benito A. Sanchez, 2023. "Productivity-conditioned market reaction of US Bank acquisitions during regulation-deregulation eras," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 368-385, June.
12. Abatania, Luke N. & Hailu, Atakelty & Mugera, Amin W., 2012. "Analysis of farm household technical efficiency in Northern Ghana using bootstrap DEA," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124211, Australian Agricultural and Resource Economics Society.
13. Khezrimotlagh, Dariush, 2022. "Simulation designs for production frontiers," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1321-1334.
14. Catherine J. Morrison Paul & Ronald G. Felthoven & Marcelo de O. Torres, 2010. "Productive performance in fisheries: modeling, measurement, and management," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(3), pages 343-360, July.
    • Morrison Paul, Catherine J. & Felthoven, Ronald G. & de O. Torres, Marcelo, 2010. "Productive performance in fisheries: modeling, measurement, and management," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(3), pages 1-18.
15. Osti, Surendra & Bampasidou, Maria & Fannin, J. Matthew, 2018. "Revisiting Farm efficiency of Rice-Crawfish farmers: Accounting for the H-2A program," 2018 Annual Meeting, August 5-7, Washington, D.C. 274339, Agricultural and Applied Economics Association.
16. Laura Di Giorgio & Abraham D Flaxman & Mark W Moses & Nancy Fullman & Michael Hanlon & Ruben O Conner & Alexandra Wollum & Christopher J L Murray, 2016. "Efficiency of Health Care Production in Low-Resource Settings: A Monte-Carlo Simulation to Compare the Performance of Data Envelopment Analysis, Stochastic Distance Functions, and an Ensemble Model," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-20, January.
17. 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.
    • Krüger, Jens, 2010. "A Monte Carlo study of old and new frontier methods for efficiency measurement," Darmstadt Discussion Papers in Economics 200, Darmstadt University of Technology, Department of Law and Economics.
18. Ross, Kara L. & Dalton, Timothy J. & Featherstone, Allen M., 2009. "A Nonparametric Efficiency Analysis of Bean Producers from North and South Kivu," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46575, Southern Agricultural Economics Association.
19. Bergendahl, Goran & Lindblom, Ted, 2008. "Evaluating the performance of Swedish savings banks according to service efficiency," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1663-1673, March.
20. 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).
21. Isabel Narbón-Perpiñá & Maria Teresa Balaguer-Coll & Marko Petrović & Emili Tortosa-Ausina, 2020. "Which estimator to measure local governments’ cost efficiency? The case of Spanish municipalities," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(1), pages 51-82, March.
22. Antonis Adam & Manthos Delis & Pantelis Kammas, 2011. "Public sector efficiency: leveling the playing field between OECD countries," Public Choice, Springer, vol. 146(1), pages 163-183, January.
    • Adam, Antonis & Delis, Manthos D & Kammas, Pantelis, 2008. "Public sector efficiency: Leveling the playing field between OECD countries," MPRA Paper 16493, University Library of Munich, Germany.
23. Julia Schaefer & Marcel Clermont, 2018. "Stochastic non-smooth envelopment of data for multi-dimensional output," Journal of Productivity Analysis, Springer, vol. 50(3), pages 139-154, December.
24. Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2019. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," European Journal of Operational Research, Elsevier, vol. 274(1), pages 240-252.
    • Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2018. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," Ruhr Economic Papers 770, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
25. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    • Bravo-Ureta, Boris & Solís, Daniel & Moreira, Victor & Maripani, José & Thiam, Abdourahmane & Rivas, Teodoro, 2005. "Technical Efficiency in Farming: A Meta-regression analysis," Efficiency Series Papers 2005/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
26. Kohl, Sebastian & Brunner, Jens O., 2020. "Benchmarking the benchmarks – Comparing the accuracy of Data Envelopment Analysis models in constant returns to scale settings," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1042-1057.
27. Galina Besstremyannaya & Jaak Simm & Sergei Golovan, 2017. "Robust estimation of cost efficiency in non-parametric frontier models," Working Papers w0244, New Economic School (NES).
28. Mª Pilar García-Alcober & Emili Tortosa-Ausina & Diego Prior & Manuel Illueca, 2014. "Cost and revenue efficiency in Spanish banking: What distributions show," Working Papers 2014/12, Economics Department, Universitat Jaume I, Castellón (Spain).
29. Osuagwu, Eze Simpson & Isola, Wakeel & Nwaogwugwu, Isaac, 2018. "Measuring Technical Efficiency and Productivity Change in the Nigerian Banking Sector: A Comparison of non-parametric DEA and parametric SFA," MPRA Paper 112948, University Library of Munich, Germany.
30. Tsionas, Mike G., 2017. "Microfoundations for stochastic frontiers," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1165-1170.
31. Giraleas, Dimitris & Emrouznejad, Ali & Thanassoulis, Emmanuel, 2012. "Selecting between different productivity measurement approaches: An application using EU KLEMS data," MPRA Paper 37965, University Library of Munich, Germany.
32. Zarrin, Mansour & Brunner, Jens O., 2023. "Analyzing the accuracy of variable returns to scale data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1286-1301.
33. Omneya Abdelsalam & Sabur Mollah & Emili Tortosa-Ausina, 2018. "Political connection and bank in(efficiency)," Working Papers 2018-11, Swansea University, School of Management.