A dataset of European banks in performance evaluation under uncertainty

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dc.contributor.authorAlfiero, Simona
dc.contributor.authorEsposito, Alfredo
dc.contributor.authorMensah, Emmanuel Kwasi
dc.contributor.authorToloo, Mehdi
dc.date.accessioned2019-04-11T09:08:05Z
dc.date.available2019-04-11T09:08:05Z
dc.date.issued2019
dc.description.abstractThe dataset contains financial indicators from the financial statements of 250 banks operating in Europe which are collated for the 2015 accounting year. First, the dataset is split into input and outputs measures. Then the preferred number of inputs and outputs in relation to the total number of data is selected according to the rule of thumb in data envelopment analysis (DEA). The dataset is related to the research article entitled "Robust optimization with nonnegative decision variables: A DEA approach" (Toloo and Mensah, 2018) [1]. The dataset can be used to evaluate the performance of banks and bank efficiency under uncertainty.cs
dc.description.firstpage214cs
dc.description.lastpage217cs
dc.description.sourceWeb of Sciencecs
dc.description.volume22cs
dc.identifier.citationData in Brief. 2019, vol. 22, p. 214-217.cs
dc.identifier.doi10.1016/j.dib.2018.11.048
dc.identifier.issn2352-3409
dc.identifier.urihttp://hdl.handle.net/10084/134586
dc.identifier.wos000458114600031
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofseriesData in Briefcs
dc.relation.urihttps://doi.org/10.1016/j.dib.2018.11.048cs
dc.rights© 2018 Elsevier Ltd. All rights reserved.cs
dc.rights.accessopenAccesscs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectrobust optimizationcs
dc.subjectnonnegative variablescs
dc.subjectcomplexitycs
dc.subjectData Envelopment Analysis (DEA)cs
dc.subjectrobust DEAcs
dc.titleA dataset of European banks in performance evaluation under uncertaintycs
dc.typearticlecs
dc.type.statusPeer-reviewedcs
dc.type.versionpublishedVersioncs

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