DEA on Relaxed Convexity Assumptions

Citations

Cited by:

1. Ghiyasi, Mojtaba & Cook, Wade D., 2021. "Modelling the semi-additive production technology in DEA," Omega, Elsevier, vol. 103(C).
2. Walheer, Barnabé, 2018. "Disaggregation of the cost Malmquist productivity index with joint and output-specific inputs," Omega, Elsevier, vol. 75(C), pages 1-12.
3. Toshiyuki Sueyoshi, 1999. "DEA Duality on Returns to Scale (RTS) in Production and Cost Analyses: An Occurrence of Multiple Solutions and Differences Between Production-Based and Cost-Based RTS Estimates," Management Science, INFORMS, vol. 45(11), pages 1593-1608, November.
4. Walter Briec & Kristiaan Kerstens, 2006. "Input, output and graph technical efficiency measures on non-convex FDH models with various scaling laws: An integrated approach based upon implicit enumeration algorithms," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(1), pages 135-166, June.
   • Walter Briec & Kristiaan Kerstens, 2005. "Input, Output and Graph Technical Efficiency Measures on Non-Convex FDH Models with Various Scaling Laws: An Integrated Approach Based upon Implicit Enumeration Algorithms," Working Papers 2005-ECO-04, IESEG School of Management.
   • W. Briec & K. Kerstens, 2006. "Input, Output and Graph Technical Efficiency Measures on Non-Convex FDH Models with Various Scaling Laws: An Integrated Approach Based Upon Implicit Enumeration Algorithms," Post-Print hal-00211169, HAL.
5. Laurens Cherchye & Bram De Rock & Frederic Vermeulen, 2008. "Analyzing Cost-Efficient Production Behavior Under Economies of Scope: A Nonparametric Methodology," Operations Research, INFORMS, vol. 56(1), pages 204-221, February.
   • Cherchye, L.J.H. & de Rock, B. & Vermeulen, F.M.P., 2006. "Analyzing Cost Efficient Production Behavior Under Economies of Scope : A Nonparametric Methodology," Other publications TiSEM 7c1c3728-77f6-4ba2-9753-5, Tilburg University, School of Economics and Management.
   • Cherchye, Laurens & De Rock, Bram & Vermeulen, Frederic, 2006. "Analyzing Cost Efficient Production Behavior Under Economies of Scope: A Nonparametric Methodology," IZA Discussion Papers 2319, Institute of Labor Economics (IZA).
   • Cherchye, L.J.H. & de Rock, B. & Vermeulen, F.M.P., 2006. "Analyzing Cost Efficient Production Behavior Under Economies of Scope : A Nonparametric Methodology," Discussion Paper 2006-81, Tilburg University, Center for Economic Research.
   • Bram De Rock & Laurens Cherchye & Frederic Vermeulen, 2008. "Analyzing cost efficient production behavior under economies of scope: a nonparametric methodology," ULB Institutional Repository 2013/7536, ULB -- Universite Libre de Bruxelles.
6. François Mairesse & Philippe Vanden Eeckaut, 2002. "Museum Assessment and FDH Technology: Towards a Global Approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(4), pages 261-286, November.
   • MAIRESSE, François & VANDEN EECKAUT, Philippe, 2002. "Museum assessment and FDH technology: towards a global approach," LIDAM Reprints CORE 1565, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
   • François Mairesse & Philippe Vanden Eeckaut, 2002. "Museum assessment and FDH technology: Towards a global approach," ULB Institutional Repository 2013/166509, ULB -- Universite Libre de Bruxelles.
7. Laurens Cherchye & Bram De Rock & Bart Dierynck & Filip Roodhooft & Jeroen Sabbe, 2013. "Opening the “Black Box” of Efficiency Measurement: Input Allocation in Multioutput Settings," Operations Research, INFORMS, vol. 61(5), pages 1148-1165, October.
   • Laurens CHERCHYE & Bram DE ROCK & Bart DIERYNCK & Filip ROODHOOFT & Jeroen SABBE, 2011. "Opening the 'black box' of efficiency measurement: input allocation in multi-output settings," Working Papers of Department of Economics, Leuven ces11.10, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
   • Laurens Cherchye & Bram De Rock & Bart Dierynck & Filip Roodhooft & Jeroen Sabbe, 2013. "Opening the Black Box of Efficiency Measurement: Input Allocation in Multi-Output Settings," ULB Institutional Repository 2013/151675, ULB -- Universite Libre de Bruxelles.
   • Cherchye, L. & De Rock, B. & Dierynck, B. & Roodhooft, F. & Sabbe, J., 2011. "Opening the ‘Black box’ of efficiency measurement: Input allocation in Multi-output settings," Vlerick Leuven Gent Management School Working Paper Series 2011-13, Vlerick Leuven Gent Management School.
8. Laurens Cherchye & Bram De Rock & Barnabé Walheer, 2013. "Efficiency Analysis in the Presence of Bad Outputs," Working Papers ECARES ECARES 2013-12, ULB -- Universite Libre de Bruxelles.
9. Mehdiloozad, Mahmood & Podinovski, Victor V., 2018. "Nonparametric production technologies with weakly disposable inputs," European Journal of Operational Research, Elsevier, vol. 266(1), pages 247-258.
10. Bogetoft, Peter & Fare, Rolf & Obel, Borge, 2006. "Allocative efficiency of technically inefficient production units," European Journal of Operational Research, Elsevier, vol. 168(2), pages 450-462, January.
    • Bogetoft, Peter & Fare, Rolf, 1999. "Allocative Efficiency of Technically Inefficient Production Units," Unit of Economics Working Papers 24217, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
11. J. Vakili & R. Sadighi Dizaji, 2021. "The closest strong efficient targets in the FDH technology: an enumeration method," Journal of Productivity Analysis, Springer, vol. 55(2), pages 91-105, April.
12. 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.
    • Cinzia Daraio & Leopold Simar, 2005. "Conditional Nonparametric Frontier Models for Convex and Non Convex Technologies: a Unifying Approach," LEM Papers Series 2005/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
13. Kerstens, Kristiaan & Vanden Eeckaut, Philippe, 1999. "Estimating returns to scale using non-parametric deterministic technologies: A new method based on goodness-of-fit," European Journal of Operational Research, Elsevier, vol. 113(1), pages 206-214, February.
    • KERSTENS, Kristiaan & VANDEN EECKAUT, Philippe, 1997. "Estimating returns to scale using nonparametric deterministic technologies : a new method based on goodness-of-fit," LIDAM Discussion Papers CORE 1997013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Kristiaan Kerstens & Philippe Vanden Eeckaut, 1999. "Estimating returns to scale using non-parametric deterministic technologies: A new method based on goodness-of-fit," Post-Print hal-03526993, HAL.
14. Podinovski, V. V., 2005. "Selective convexity in DEA models," European Journal of Operational Research, Elsevier, vol. 161(2), pages 552-563, March.
15. Sueyoshi, Toshiyuki & Sekitani, Kazuyuki, 2007. "The measurement of returns to scale under a simultaneous occurrence of multiple solutions in a reference set and a supporting hyperplane," European Journal of Operational Research, Elsevier, vol. 181(2), pages 549-570, September.
16. Walheer, Barnabé, 2018. "Scale efficiency for multi-output cost minimizing producers: The case of the US electricity plants," Energy Economics, Elsevier, vol. 70(C), pages 26-36.
17. Peter Bogetoft & Joseph M. Tama & Jørgen Tind, 2000. "Convex Input and Output Projections of Nonconvex Production Possibility Sets," Management Science, INFORMS, vol. 46(6), pages 858-869, June.
18. Cherchye, Laurens & Rock, Bram De & Walheer, Barnabé, 2015. "Multi-output efficiency with good and bad outputs," European Journal of Operational Research, Elsevier, vol. 240(3), pages 872-881.
    • Laurens Cherchye & Bram De Rock & Barnabé Walheer, 2013. "Multi-Output Efficiency with Good and Bad Outputs," Working Papers ECARES ECARES 2013-35, ULB -- Universite Libre de Bruxelles.
19. Hougaard, Jens Leth & Tind, Jørgen, 2009. "Cost allocation and convex data envelopment," European Journal of Operational Research, Elsevier, vol. 194(3), pages 939-947, May.
    • Jens Leth Hougaard & Jørgen Tind, 2008. "Cost Allocation and Convex Data Envelopment," Discussion Papers 08-02, University of Copenhagen. Department of Economics.
20. Thierry Post & Laurens Cherchye & Timo Kuosmanen, 2002. "Nonparametric Efficiency Estimation In Stochastic Environments," Operations Research, INFORMS, vol. 50(4), pages 645-655, August.
    • Cherchye, L. & Post, G.T., 2001. "Nonparametric Efficiency Estimation in Stochastic Environments (II)," ERIM Report Series Research in Management ERS-2001-26-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
21. Harald Dyckhoff & Katrin Allen, 1999. "Theoretische Begründung einer Effizienzanalyse mittels Data Envelopment Analysis (DEA)," Schmalenbach Journal of Business Research, Springer, vol. 51(5), pages 411-436, May.
22. Kuosmanen, Timo & Cherchye, Laurens & Sipilainen, Timo, 2006. "The law of one price in data envelopment analysis: Restricting weight flexibility across firms," European Journal of Operational Research, Elsevier, vol. 170(3), pages 735-757, May.
    • Timo Kuosmanen & Laurens Cherchye & Timo Sipiläinen, 2003. "The Law of One Price in Data Envelopment Analysis: Restricting Weight Flexibility Across Firms," Microeconomics 0312006, University Library of Munich, Germany, revised 18 Dec 2003.
23. Olesen, Ole B. & Ruggiero, John, 2014. "Maintaining the Regular Ultra Passum Law in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 235(3), pages 798-809.
24. Dyckhoff, H. & Allen, K., 2001. "Measuring ecological efficiency with data envelopment analysis (DEA)," European Journal of Operational Research, Elsevier, vol. 132(2), pages 312-325, July.
25. Post, Thierry, 2001. "Transconcave data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 132(2), pages 374-389, July.
26. Olesen, Ole B. & Ruggiero, John, 2012. "Maintaining the Regular Ultra Passum Law in data envelopment analysis," Discussion Papers on Economics 2/2012, University of Southern Denmark, Department of Economics.
27. Zambelli, Stefano & Fredholm, Thomas & Venkatachalam, Ragupathy, 2017. "Robust measurement of national technological progress," Structural Change and Economic Dynamics, Elsevier, vol. 42(C), pages 38-55.
    • Stefano Zambelli & Thomas Fredholm & Ragupathy Venkatachalam, 2014. "Robust Measurement of National Technological Progress," ASSRU Discussion Papers 1404, ASSRU - Algorithmic Social Science Research Unit.
28. Kuosmanen, Timo, 2001. "DEA with efficiency classification preserving conditional convexity," European Journal of Operational Research, Elsevier, vol. 132(2), pages 326-342, July.
29. Laurens Cherchye & Bram De Rock & Antonio Estache & Barnabé Walheer, 2013. "Reducing Energy Use without Affecting the Economic Objectives: a Sectoral Analysis," Working Papers ECARES ECARES 2013-11, ULB -- Universite Libre de Bruxelles.
30. Homburg, Carsten, 2005. "Using relative profits as an alternative to activity-based costing," International Journal of Production Economics, Elsevier, vol. 95(3), pages 387-397, March.
31. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "Measuring environmental performance under different environmental DEA technologies," Energy Economics, Elsevier, vol. 30(1), pages 1-14, January.
32. Blancard, Stéphane & Boussemart, Jean-Philippe & Chavas, Jean-Paul & Leleu, Hervé, 2016. "Potential gains from specialization and diversification further to the reorganization of activities," Omega, Elsevier, vol. 63(C), pages 60-68.
    • Stéphane Blancard & Jean-Philippe Boussemart & Jean-Paul Chavas & Herve Leleu, 2016. "Potential gains from specialization and diversification further to the reorganization of activities," Post-Print hal-01533526, HAL.
33. Podinovski, Victor V. & Kuosmanen, Timo, 2011. "Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions," European Journal of Operational Research, Elsevier, vol. 211(3), pages 577-585, June.
34. Bogetoft, Peter & Nielsen, Kurt, 2008. "DEA based auctions," European Journal of Operational Research, Elsevier, vol. 184(2), pages 685-700, January.
35. Laurens Cherchye & Bram De Rock & Veerle Hennebel, 2017. "Coordination efficiency in multi-output settings: a DEA approach," Annals of Operations Research, Springer, vol. 250(1), pages 205-233, March.
    • Laurens CHERCHYE & Bram DE ROCK & Veerle HENNEBEL, 2014. "Coordination efficiency in multi-output settings: a DEA approach," Working Papers of Department of Economics, Leuven ces14.24, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
36. Pham, Manh D. & Zelenyuk, Valentin, 2019. "Weak disposability in nonparametric production analysis: A new taxonomy of reference technology sets," European Journal of Operational Research, Elsevier, vol. 274(1), pages 186-198.
37. Cherchye, L. & Abeele, P. Vanden, 2005. "On research efficiency: A micro-analysis of Dutch university research in Economics and Business Management," Research Policy, Elsevier, vol. 34(4), pages 495-516, May.
    • Laurens Cherchye & Piet Vanden Abeele, 2002. "On Research Efficiency: A Micro-Analysis of Dutch University Research in Economics and Business Management," Public Economics Working Paper Series ces0206, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics.
38. Hennebel, Veerle & Simper, Richard & Verschelde, Marijn, 2017. "Is there a prison size dilemma? An empirical analysis of output-specific economies of scale," European Journal of Operational Research, Elsevier, vol. 262(1), pages 306-321.
    • Veerle Hennebel & Richard Simper & Marijn Verschelde, 2016. "Is there a prison size dilemma? An empirical analysis of output-specific economies of scale," Working Papers 2016-EQM-09, IESEG School of Management.
    • Veerle Hennebel & Richard Simper & Marijn Verschelde, 2017. "Is there a prison size dilemma? An empirical analysis of output-specific economies of scale," Post-Print hal-01745348, HAL.
39. Robin C. Sickles & Wonho Song & Valentin Zelenyuk, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," CEPA Working Papers Series WP082018, School of Economics, University of Queensland, Australia.
    • Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
40. Peter Bogetoft, 2000. "DEA and Activity Planning under Asymmetric Information," Journal of Productivity Analysis, Springer, vol. 13(1), pages 7-48, January.
41. Cherchye, Laurens & De Rock, Bram & Hennebel, Veerle, 2014. "The economic meaning of Data Envelopment Analysis: A ‘behavioral’ perspective," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 29-37.
    • Laurens Cherchye & Bram De Rock, 2013. "The Economic Meaning of Data Envelopment Analysis: a "Behavioral" Perspective," Working Papers ECARES ECARES 2013-03, ULB -- Universite Libre de Bruxelles.
42. Barnabé Walheer, 2019. "Disaggregation for efficiency analysis," Journal of Productivity Analysis, Springer, vol. 51(2), pages 137-151, June.
43. Syrjanen, Mikko J., 2004. "Non-discretionary and discretionary factors and scale in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 158(1), pages 20-33, October.
44. Briec, Walter & Liang, Qi Bin, 2011. "On some semilattice structures for production technologies," European Journal of Operational Research, Elsevier, vol. 215(3), pages 740-749, December.
45. Lamb, John D. & Tee, Kai-Hong, 2012. "Data envelopment analysis models of investment funds," European Journal of Operational Research, Elsevier, vol. 216(3), pages 687-696.
46. Barnabé Walheer, 2022. "Global Malmquist and cost Malmquist indexes for group comparison," Journal of Productivity Analysis, Springer, vol. 58(1), pages 75-93, August.
47. Jean-Paul Chavas & Kwansoo Kim, 2015. "Nonparametric analysis of technology and productivity under non-convexity: a neighborhood-based approach," Journal of Productivity Analysis, Springer, vol. 43(1), pages 59-74, February.
48. Post, Thierry, 2001. "Estimating non-convex production sets - imposing convex input sets and output sets in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 131(1), pages 132-142, May.
49. Thomas, Peter & Chan, Yupo & Lehmkuhl, Lee & Nixon, William, 2002. "Obnoxious-facility location and data-envelopment analysis: A combined distance-based formulation," European Journal of Operational Research, Elsevier, vol. 141(3), pages 495-514, September.
50. Kuosmanen, Timo & Post, Thierry, 2001. "Measuring economic efficiency with incomplete price information: With an application to European commercial banks," European Journal of Operational Research, Elsevier, vol. 134(1), pages 43-58, October.
51. Peter Bogetoft & Dexiang Wang, 2005. "Estimating the Potential Gains from Mergers," Journal of Productivity Analysis, Springer, vol. 23(2), pages 145-171, May.
    • Bogetoft, Peter & Wang, Dexiang, 2003. "Estimating the Potential Gains from Mergers," Unit of Economics Working Papers 24213, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
52. Ehrgott, Matthias & Tind, Jørgen, 2009. "Column generation with free replicability in DEA," Omega, Elsevier, vol. 37(5), pages 943-950, October.
53. Sergio Destefanis & Giuseppe Storti, 2002. "Measuring cross-country technological catch-up through variable-parameter FDH," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 11(1), pages 109-125, February.
54. R H Green & W D Cook, 2004. "A free coordination hull approach to efficiency measurement," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1059-1063, October.
55. Valentin Zelenyuk, 2019. "Data Envelopment Analysis and Business Analytics: The Big Data Challenges and Some Solutions," CEPA Working Papers Series WP072019, School of Economics, University of Queensland, Australia.
56. Ang, Frederic & Kerstens, Pieter Jan, 2017. "Decomposing the Luenberger–Hicks–Moorsteen Total Factor Productivity indicator: An application to U.S. agriculture," European Journal of Operational Research, Elsevier, vol. 260(1), pages 359-375.
57. C. Lovell & Shawna Grosskopf & Eduardo Ley & Jesús Pastor & Diego Prior & Philippe Eeckaut, 1994. "Linear programming approaches to the measurement and analysis of productive efficiency," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 2(2), pages 175-248, December.
    • Lovell, C.A.K., 1993. "Linear Programming Approaches to the Measurement and Analysis of Productive Efficiency," Papers 393e, Georgia - College of Business Administration, Department of Economics.
58. Chang, Kuo-Ping, 1999. "Measuring efficiency with quasiconcave production frontiers," European Journal of Operational Research, Elsevier, vol. 115(3), pages 497-506, June.
59. Walter Briec & Kristiaan Kerstens & Hervé Leleu & Philippe Eeckaut, 2000. "Returns to Scale on Nonparametric Deterministic Technologies: Simplifying Goodness-of-Fit Methods Using Operations on Technologies," Journal of Productivity Analysis, Springer, vol. 14(3), pages 267-274, November.
60. Fukuyama, Hirofumi & Shiraz, Rashed Khanjani, 2015. "Cost-effectiveness measures on convex and nonconvex technologies," European Journal of Operational Research, Elsevier, vol. 246(1), pages 307-319.
61. Bogetoft, Peter & Hougaard, Jens Leth & Smilgins, Aleksandrs, 2016. "Applied cost allocation: The DEA–Aumann–Shapley approach," European Journal of Operational Research, Elsevier, vol. 254(2), pages 667-678.
62. Bogetoft, Peter & Wang, Dexiang, 1999. "Estimating the Potential Gains from Mergers: The Danish Agricultural Extension Services," Unit of Economics Working Papers 24207, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
63. Zelenyuk, Valentin, 2020. "Aggregation of inputs and outputs prior to Data Envelopment Analysis under big data," European Journal of Operational Research, Elsevier, vol. 282(1), pages 172-187.
64. Timo Kuosmanen, 2003. "Duality Theory of Non-convex Technologies," Journal of Productivity Analysis, Springer, vol. 20(3), pages 273-304, November.
65. Barnabé Walheer, 2020. "Output, input, and undesirable output interconnections in data envelopment analysis: convexity and returns-to-scale," Annals of Operations Research, Springer, vol. 284(1), pages 447-467, January.
66. Agrell, Per J. & Bogetoft, Peter & Tind, Jorgen, 2000. "Polarity in DEA Models," Unit of Economics Working Papers 24188, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
67. Kristiaan Kerstens & Philippe Vanden Eeckaut, 1999. "A new criterion for technical efficiency measures: non-monotonicity across dimensions axioms," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 20(1), pages 45-59.
68. V V Podinovski, 2004. "Local and global returns to scale in performance measurement," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(2), pages 170-178, February.
69. Timo Kuosmanen & Mika Kortelainen, 2012. "Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints," Journal of Productivity Analysis, Springer, vol. 38(1), pages 11-28, August.