Regulatory Benchmarking: Models, Analyses and Applications
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DOI: 10.1561/103.00000017
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Other versions of this item:
- Per J. Agrell & Peter Bogetoft, 2017. "Regulatory benchmarking: Models, analyses and applications," LIDAM Reprints CORE 2912, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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Cited by:
- Kerstens, Kristiaan & Sadeghi, Jafar & Toloo, Mehdi & Van de Woestyne, Ignace, 2022.
"Procedures for ranking technical and cost efficient units: With a focus on nonconvexity,"
European Journal of Operational Research, Elsevier, vol. 300(1), pages 269-281.
- Kristiaan Kerstens & Jafar Sadeghi & Mehdi Toloo & Ignace van de Woestyne, 2022. "Procedures for ranking technical and cost efficient units: With a focus on nonconvexity," Post-Print hal-03595989, HAL.
- Afsharian, Mohsen & Ahn, Heinz & Lopes, Ana & Vilela, Bruno, 2019. "Pitfalls in estimating the X-factor: The case of energy transmission regulation in Brazil," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 1-9.
- Bogetoft, Peter & Eskesen, Anita, 2022. "Balancing information rents and service differentiation in utility regulation," Energy Economics, Elsevier, vol. 106(C).
- Emil Heesche & Peter Bogetoft, 2021. "Incentives in regulatory DEA models with discretionary outputs: The case of Danish water regulation," IFRO Working Paper 2021/04, University of Copenhagen, Department of Food and Resource Economics.
- Waidelich, Paul & Haug, Tomas & Wieshammer, Lorenz, 2022. "German efficiency gone wrong: Unintended incentives arising from the gas TSOs’ benchmarking," Energy Policy, Elsevier, vol. 160(C).
- An, Qingxian & Tao, Xiangyang & Chen, Xiaohong, 2023. "Nested frontier-based best practice regulation under asymmetric information in a principal–agent framework," European Journal of Operational Research, Elsevier, vol. 306(1), pages 269-285.
- 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.
- Esteve, Miriam & Aparicio, Juan & Rodriguez-Sala, Jesus J. & Zhu, Joe, 2023. "Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull," European Journal of Operational Research, Elsevier, vol. 304(2), pages 729-744.
- Benítez-Peña, Sandra & Bogetoft, Peter & Romero Morales, Dolores, 2020. "Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach," Omega, Elsevier, vol. 96(C).
- Tobias Rösch & Peter Treffinger, 2019. "Cluster Analysis of Distribution Grids in Baden-Württemberg," Energies, MDPI, vol. 12(20), pages 1-25, October.
- Edens, Marga G. & Lavrijssen, Saskia A.C.M., 2019. "Balancing public values during the energy transition – How can German and Dutch DSOs safeguard sustainability?," Energy Policy, Elsevier, vol. 128(C), pages 57-65.
- Heesche, Emil & Asmild, Mette, 2022. "Controlling for environmental conditions in regulatory benchmarking," Utilities Policy, Elsevier, vol. 77(C).
- Emil Heesche & Mette Asmild, 2022. "Implications of Aggregation Uncertainty in DEA," IFRO Working Paper 2022/02, University of Copenhagen, Department of Food and Resource Economics.
- Binlei Gong & Robin C. Sickles, 2020.
"Non-structural and structural models in productivity analysis: study of the British Isles during the 2007–2009 financial crisis,"
Journal of Productivity Analysis, Springer, vol. 53(2), pages 243-263, April.
- Gong, Binlei & Sickles, Robin C., 2016. "Non-structural and Structural Models in Productivity Analysis: Study of the British Isles during the 2007-2009 Financial Crisis," Working Papers 16-004, Rice University, Department of Economics.
- Mahlberg, Bernhard & Frank-Stocker, Andrea & Koller, Wolfgang & Ramerstorfer, Christian, 2023. "Cost efficiency of renewable district heating systems: the case of Austria," MPRA Paper 118595, University Library of Munich, Germany.
- Emil Heesche & Mette Asmild, 2020. "Controlling for environmental conditions in regulatory benchmarking," IFRO Working Paper 2020/03, University of Copenhagen, Department of Food and Resource Economics.
- An, Qingxian & Tao, Xiangyang & Xiong, Beibei, 2021. "Benchmarking with data envelopment analysis: An agency perspective," Omega, Elsevier, vol. 101(C).
- Costa, Marcelo Azevedo & Lopes-Ahn, Ana Lúcia & Kilger, Alexander de Carvalho & Micas, Artur Fontenelle, 2023. "Limitations of weight restrictions in data envelopment analysis for benchmarking Brazilian electricity distribution system operators," Utilities Policy, Elsevier, vol. 82(C).
- Afsharian, Mohsen & Ahn, Heinz & Harms, Sören Guntram, 2021. "A review of DEA approaches applying a common set of weights: The perspective of centralized management," European Journal of Operational Research, Elsevier, vol. 294(1), pages 3-15.
- Stronzik, Marcus & Wissner, Matthias, 2019. "Entwicklung des Effizienzvergleichs in Richtung Smart Grids," WIK Discussion Papers 447, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH.
- Afsharian, Mohsen & Bogetoft, Peter, 2020. "Identifying production units with outstanding performance," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1191-1194.
- Julio Cesar Mosquera Gutierres & Rafael Coradi Leme & Rodrigo Luiz Mendes Mota & Paulo E. Steele Santos, 2021. "Regulatory efficiency decomposition for utilities’ parallel subsystems," Operational Research, Springer, vol. 21(1), pages 331-347, March.
- Stead, Alexander D. & Wheat, Phill & Greene, William H., 2023. "Robust maximum likelihood estimation of stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 309(1), pages 188-201.
- de Souza Pereira, Mariana & Magalhães Filho, Fernando Jorge Corrêa & de Morais Lima, Priscila & Tabak, Benjamin Miranda & Constantino, Michel, 2022. "Sanitation and water services: Who is the most efficient provider public or private? Evidences for Brazil," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
- 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).
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Keywords
DEA; Agency theory; Regulation; Energy networks;All these keywords.
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