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Model misspecification in Data Envelopment Analysis

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Cited by:

  1. Schang, Laura & Hynninen, Yrjänä & Morton, Alec & Salo, Ahti, 2016. "Developing robust composite measures of healthcare quality – Ranking intervals and dominance relations for Scottish Health Boards," Social Science & Medicine, Elsevier, vol. 162(C), pages 59-67.
  2. Laudicella, Mauro & Olsen, Kim Rose & Street, Andrew, 2010. "Examining cost variation across hospital departments-a two-stage multi-level approach using patient-level data," Social Science & Medicine, Elsevier, vol. 71(10), pages 1872-1881, November.
  3. Yauheniya Varabyova & Carl Rudolf Blankart & Jonas Schreyögg, 2017. "Using nonparametric conditional approach to integrate quality into efficiency analysis: empirical evidence from cardiology departments," Health Care Management Science, Springer, vol. 20(4), pages 565-576, December.
  4. Adriana Castelli & Andrew Street & Rossella Verzulli & Padraic Ward, 2015. "Examining variations in hospital productivity in the English NHS," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(3), pages 243-254, April.
  5. Jesús T. Pastor & JosÉ L. Ruiz & Inmaculada Sirvent, 2002. "A Statistical Test for Nested Radial Dea Models," Operations Research, INFORMS, vol. 50(4), pages 728-735, August.
  6. Halsteinli, Vidar & Kittelsen, Sverre A. & Magnussen, Jon, 2010. "Productivity growth in outpatient child and adolescent mental health services: The impact of case-mix adjustment," Social Science & Medicine, Elsevier, vol. 70(3), pages 439-446, February.
  7. Nataraja, Niranjan R. & Johnson, Andrew L., 2011. "Guidelines for using variable selection techniques in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 215(3), pages 662-669, December.
  8. Productivity Commission, 2008. "Assessing Local Government Revenue Raising Capacity," Research Reports, Productivity Commission, Government of Australia, number 26.
  9. Aldanondo, Ana M. & Casasnovas, Valero L., 2015. "More is better than one: the impact of different numbers of input aggregators in technical efficiency estimation," MPRA Paper 64120, University Library of Munich, Germany.
  10. Prasanta Kumar Dey & Guo-liang Yang & Chrysovalantis Malesios & Debashree De & Konstantinos Evangelinos, 2021. "Performance Management of Supply Chain Sustainability in Small and Medium-Sized Enterprises Using a Combined Structural Equation Modelling and Data Envelopment Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 573-613, October.
  11. M I Gonzalez-Bravo, 2007. "Prior-Ratio-Analysis procedure to improve data envelopment analysis for performance measurement," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(9), pages 1214-1222, September.
  12. 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.
  13. Vitikainen, Kirsi & Street, Andrew & Linna, Miika, 2009. "Estimation of hospital efficiency--Do different definitions and casemix measures for hospital output affect the results?," Health Policy, Elsevier, vol. 89(2), pages 149-159, February.
  14. Thanh Ngo & Kan Wai Hong Tsui, 2022. "Estimating the confidence intervals for DEA efficiency scores of Asia-Pacific airlines," Operational Research, Springer, vol. 22(4), pages 3411-3434, September.
  15. Jackson Njau Waweru & Kennedy M. Waweru & Kenneth L. Wanjau & Josphat K. Kinyanjui, 2018. "Influence of Alternative Financing on the Relationship between Managerial Competency and Efficiency of Small and Medium Enterprises in Kenya," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 7(1), pages 13-26, January.
  16. Andreas Eder & Bernhard Mahlberg & Bernhard Stürmer, 2021. "Measuring and explaining productivity growth of renewable energy producers: An empirical study of Austrian biogas plants," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(1), pages 37-63, February.
  17. Miika Linna & Unto Häkkinen & Mikko Peltola & Jon Magnussen & Kjartan Anthun & Sverre Kittelsen & Annette Roed & Kim Olsen & Emma Medin & Clas Rehnberg, 2010. "Measuring cost efficiency in the Nordic Hospitals—a cross-sectional comparison of public hospitals in 2002," Health Care Management Science, Springer, vol. 13(4), pages 346-357, December.
  18. G D Ferrier & V G Valdmanis, 2004. "Do mergers improve hospital productivity?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1071-1080, October.
  19. Antonio Giuffrida & Hugh Gravelle, 2001. "Measuring performance in primary care: econometric analysis and DEA," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 163-175.
  20. Yang, Guo-liang & Rousseau, Ronald & Yang, Li-ying & Liu, Wen-bin, 2014. "A study on directional returns to scale," Journal of Informetrics, Elsevier, vol. 8(3), pages 628-641.
  21. Apostolos G. Christopoulos & Ioannis G. Dokas & Sofia Katsimardou & Konstantinos Vlachogiannatos, 2016. "Investigation of the relative efficiency for the Greek listed firms of the construction sector based on two DEA approaches for the period 2006–2012," Operational Research, Springer, vol. 16(3), pages 423-444, October.
  22. Panos Kanavos & Olivier Wouters & Jonathan Cylus & Irene Papanicolas & Peter C. Smith, 2017. "Using Data Envelopment Analysis to Address the Challenges of Comparing Health System Efficiency," Global Policy, London School of Economics and Political Science, vol. 8(s2), pages 60-68, March.
  23. Sokol, Ondřej & Frýd, Lukáš, 2023. "DEA efficiency in agriculture: Measurement unit issues," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
  24. Rowena Jacobs, 2000. "Alternative methods to examine hospital efficiency: Data Envelopment Analysis and Stochastic Frontier Analysis," Working Papers 177chedp, Centre for Health Economics, University of York.
  25. Alexander Cotte Poveda, 2012. "Estimating Effectiveness of the Control of Violence and Socioeconomic Development in Colombia: An Application of Dynamic Data Envelopment Analysis and Data Panel Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(3), pages 343-366, February.
  26. Martin Eling, 2006. "Performance measurement of hedge funds using data envelopment analysis," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(4), pages 442-471, December.
  27. Natalia Aldaz & Joaquín A. Millán, 2003. "A Comparison of Agricultural Productivity in the European Union Regions," ERSA conference papers ersa03p223, European Regional Science Association.
  28. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2015. "Testing the accuracy of DEA estimates under endogeneity through a Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 244(2), pages 511-518.
  29. Alexander Cotte Poveda, 2011. "Estimando la efectividad en el control de la violencia y el desarrollo socio-económico en Colombia," Serie de Documentos en Economía y Violencia 8079, Centro de Investigaciones en Violencia, Instituciones y Desarrollo Económico (VIDE).
  30. Khezrimotlagh, Dariush, 2022. "Simulation designs for production frontiers," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1321-1334.
  31. Zervopoulos, Panagiotis, 2012. "Dealing with small samples and dimensionality issues in data envelopment analysis," MPRA Paper 39226, University Library of Munich, Germany.
  32. Alexander Cotte Poveda, 2011. "Estimating Effectiveness of the Control of Violence and Socioeconomic Development in Colombia: An Application of DEA and Data Panel Approach," Serie de Documentos en Economía y Violencia 8356, Centro de Investigaciones en Violencia, Instituciones y Desarrollo Económico (VIDE).
  33. Yang, Guoliang & Ahlgren, Per & Yang, Liying & Rousseau, Ronald & Ding, Jielan, 2016. "Using multi-level frontiers in DEA models to grade countries/territories," Journal of Informetrics, Elsevier, vol. 10(1), pages 238-253.
  34. Marketta Veihola & Pekka Aroviita & Riitta Kekomäki & Miika Linna & Harri Sintonen, 2008. "Discarded cellular components and the technical efficiency of component preparation," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 9(4), pages 325-331, November.
  35. Li, Nan & Jiang, Yuqing & Mu, Hailin & Yu, Zhixin, 2018. "Efficiency evaluation and improvement potential for the Chinese agricultural sector at the provincial level based on data envelopment analysis (DEA)," Energy, Elsevier, vol. 164(C), pages 1145-1160.
  36. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.
  37. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
  38. Charles, Vincent & Kumar, Mukesh & Irene Kavitha, S., 2012. "Measuring the efficiency of assembled printed circuit boards with undesirable outputs using data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 136(1), pages 194-206.
  39. Massimo Finocchiaro Castro & Calogero Guccio, 2014. "Searching for the source of technical inefficiency in Italian judicial districts: an empirical investigation," European Journal of Law and Economics, Springer, vol. 38(3), pages 369-391, December.
  40. Udhayakumar, A. & Charles, V. & Kumar, Mukesh, 2011. "Stochastic simulation based genetic algorithm for chance constrained data envelopment analysis problems," Omega, Elsevier, vol. 39(4), pages 387-397, August.
  41. Finn Førsund, 2013. "Weight restrictions in DEA: misplaced emphasis?," Journal of Productivity Analysis, Springer, vol. 40(3), pages 271-283, December.
  42. Thirtle, Colin & Piesse, Jenifer & Lusigi, Angela & Suhariyanto, Kecuk, 2003. "Multi-factor agricultural productivity, efficiency and convergence in Botswana, 1981-1996," Journal of Development Economics, Elsevier, vol. 71(2), pages 605-624, August.
  43. Avkiran, Necmi K. & Goto, Mika, 2011. "A tool for scrutinizing bank bailouts based on multi-period peer benchmarking," Pacific-Basin Finance Journal, Elsevier, vol. 19(5), pages 447-469, November.
  44. Moran, Valerie & Jacobs, Rowena, 2013. "An international comparison of efficiency of inpatient mental health care systems," Health Policy, Elsevier, vol. 112(1), pages 88-99.
  45. Lin, Rung-Chuan & Sir, Mustafa Y. & Pasupathy, Kalyan S., 2013. "Multi-objective simulation optimization using data envelopment analysis and genetic algorithm: Specific application to determining optimal resource levels in surgical services," Omega, Elsevier, vol. 41(5), pages 881-892.
  46. Varabyova, Yauheniya & Müller, Julia-Maria, 2016. "The efficiency of health care production in OECD countries: A systematic review and meta-analysis of cross-country comparisons," Health Policy, Elsevier, vol. 120(3), pages 252-263.
  47. Kontodimopoulos, Nick & Nanos, Panagiotis & Niakas, Dimitris, 2006. "Balancing efficiency of health services and equity of access in remote areas in Greece," Health Policy, Elsevier, vol. 76(1), pages 49-57, March.
  48. Miika Linna, 1998. "Measuring hospital cost efficiency with panel data models," Health Economics, John Wiley & Sons, Ltd., vol. 7(5), pages 415-427, August.
  49. Abdul Jalil, Ahmad Zafarullah & Abdul Karim, Noor Al-Huda, 2009. "Understanding Malaysian State Governments Fiscal Behavior: The Role of Intergovernmental Transfers," MPRA Paper 25188, University Library of Munich, Germany.
  50. Kecuk Suhariyanto & Colin Thirtle, 2001. "Asian Agricultural Productivity and Convergence," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(3), pages 96-110, September.
  51. Zhu, Joe, 2001. "Super-efficiency and DEA sensitivity analysis," European Journal of Operational Research, Elsevier, vol. 129(2), pages 443-455, March.
  52. Banker, R. D. & Chang, H. S. & Cooper, W. W., 2002. ""Small sample properties of ML, COLS and DEA estimators of frontier models in the presence of heteroscedasticity" by A.N. Bojanic, S.B. Caudill and J.M. Ford, European Journal of Operational," European Journal of Operational Research, Elsevier, vol. 136(2), pages 466-467, January.
  53. Halkos, George & Tzeremes, Nickolaos, 2010. "Performance evaluation using bootstrapping DEA techniques: Evidence from industry ratio analysis," MPRA Paper 25072, University Library of Munich, Germany.
  54. Adler, Nicole & Yazhemsky, Ekaterina, 2010. "Improving discrimination in data envelopment analysis: PCA-DEA or variable reduction," European Journal of Operational Research, Elsevier, vol. 202(1), pages 273-284, April.
  55. Vincent Charles & Ioannis E. Tsolas & Tatiana Gherman, 2018. "Satisficing data envelopment analysis: a Bayesian approach for peer mining in the banking sector," Annals of Operations Research, Springer, vol. 269(1), pages 81-102, October.
  56. Charles, Vincent & Aparicio, Juan & Zhu, Joe, 2019. "The curse of dimensionality of decision-making units: A simple approach to increase the discriminatory power of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 279(3), pages 929-940.
  57. repec:bla:glopol:v:8:y:2017:i::p:60-68 is not listed on IDEAS
  58. 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.
  59. D U A Galagedera & P Silvapulle, 2003. "Experimental evidence on robustness of data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(6), pages 654-660, June.
  60. Herrero, Ines, 2005. "Different approaches to efficiency analysis. An application to the Spanish Trawl fleet operating in Moroccan waters," European Journal of Operational Research, Elsevier, vol. 167(1), pages 257-271, November.
  61. Veiga, Gabriela Lobo & Pinheiro de Lima, Edson & Frega, José Roberto & Gouvea da Costa, Sérgio Eduardo, 2021. "A DEA-based approach to assess manufacturing performance through operations strategy lenses," International Journal of Production Economics, Elsevier, vol. 235(C).
  62. Kyuseok Lee & Kyuwan Choi, 2010. "Cross redundancy and sensitivity in DEA models," Journal of Productivity Analysis, Springer, vol. 34(2), pages 151-165, October.
  63. Adler, Nicole & Raveh, Adi, 2008. "Presenting DEA graphically," Omega, Elsevier, vol. 36(5), pages 715-729, October.
  64. Duras, Toni & Javed, Farrukh & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2023. "Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data," Energy Economics, Elsevier, vol. 120(C).
  65. Piesse, Jenifer & Thirtle, Colin, 2000. "A Stochastic Frontier Approach to Firm Level Efficiency, Technological Change, and Productivity during the Early Transition in Hungary," Journal of Comparative Economics, Elsevier, vol. 28(3), pages 473-501, September.
  66. Tom Broekel & Thomas Brenner, 2007. "Measuring Regional Innovativeness - A Methodological Discussion and an Application to One German Industry," Jena Economics Research Papers 2007-065, Friedrich-Schiller-University Jena.
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