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Incorporating quality in economic regulatory benchmarking

Heesche, Emil; Asmild, Mette - 2020

The Danish water regulator uses, among other things, Data Envelopment Analysis to create a pseudo-competitive environment for the water companies. The benchmarking results are used to set an individual revenue cap for each company. The benchmarking model is currently criticized for not including...

Persistent link: https://www.econbiz.de/10012308535

Implications of aggregation uncertainty in DEA

Heesche, Emil; Asmild, Mette - 2022

Researchers and practitioners who use Data Envelopment Analysis often want to incorporate several inputs and outputs in their model to consider as much relevant information as possible. However, too many inputs and outputs can result in the well-known dimensionality problem referred to as the...

Persistent link: https://www.econbiz.de/10013165916

Implications of aggregation uncertainty in Data Envelopment Analysis : an application in incentive regulation

Heesche, Emil; Asmild, Mette - In: Decision analytics journal 4 (2022), pp. 1-15

Persistent link: https://www.econbiz.de/10013453626

Banking efficiency analysis under corporate social responsibilities

Ohene-Asare, Kwaku; Asmild, Mette - In: International Journal of Banking, Accounting and Finance 4 (2012) 2, pp. 146-171

2008, we evaluate the relative efficiency of Ghanaian banks using data envelopment analysis (DEA) thus contributing to the … scanty research on African banks. We observe a significant difference between the DEA model that includes CSR and the other …

Persistent link: https://www.econbiz.de/10010668781

Introducing and modeling inefficiency contributions

Asmild, Mette; Kronborg, Dorte; Matthews, Kent - In: European journal of operational research : EJOR 248 (2016) 2, pp. 725-730

Persistent link: https://www.econbiz.de/10011409775

Controlling for the use of extreme weights in bank efficiency assessments during the financial crisis

Asmild, Mette; Zhu, Minyan - In: European journal of operational research : EJOR 251 (2016) 3, pp. 999-1015

Persistent link: https://www.econbiz.de/10011449077

Exact tests on returns to scale and comparisons of production frontiers in nonparametric models

Rønn-Nielsen, Anders; Kronborg, Dorte; Asmild, Mette - 2019

When benchmarking production units by non-parametric methods like data envelopment analysis (DEA), an assumption has to … frontiers across samples of producers. Until now, no exact tests for examining returns to scale assumptions in DEA, or for test … test for the hypothesis of constant returns to scale in DEA. The others are tests for general frontier differences and …

Persistent link: https://www.econbiz.de/10012132662

Comment on: "Testing hypotheses in nonparametric models of production" by Kneip, Simar, and Wilson (2016, JBES)

Asmild, Mette; Henningsen, Arne; Kronborg, Dorte; … - 2019

Persistent link: https://www.econbiz.de/10012132679

Controlling for environmental conditions in regulatory benchmarking

Heesche, Emil; Asmild, Mette - 2020

Data Envelopment Analysis (DEA) is often used by regulators to create a pseudo-competitive environment for sectors with … unconventional approaches, which furthermore are not easily changed. In this paper, we discuss the model used for DEA-based benchmark … that only those companies that in the DEA assign weights to those output measures adjusted for environmental conditions …

Persistent link: https://www.econbiz.de/10012183185

Regional R&D efficiency in Korea from static and dynamic perspectives

Han, Ungkyu; Asmild, Mette; Kunc, Martin - In: Regional studies 50 (2016) 7, pp. 1170-1184

Persistent link: https://www.econbiz.de/10011708665