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Translog Cost Function Estimation: Banking Efficiency

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dc.contributor.authorDaglish, Toby
dc.contributor.authorRobertson, Oliver
dc.contributor.authorTripe, David
dc.contributor.authorWeill, Laurent
dc.date.accessioned2015-03-05T20:32:25Z
dc.date.accessioned2022-07-07T02:22:40Z
dc.date.available2015
dc.date.available2015-03-05T20:32:25Z
dc.date.available2022-07-07T02:22:40Z
dc.date.copyright2015
dc.date.issued2015
dc.description.abstractThis paper examines the selection of data source and econometric technique for studies of banking efficiency using translog cost functions. We examine the use of Seemingly Unrelated Regression estimation for a cost function, as against estimation using Ordinary Least Squares. Choice of cost data to feed to the estimation is also important, and we find that use of wage and interest data may sometimes be superior to cost data inferred from bank accounting information. Lastly, we discuss filtering of data, where some observations may contain erroneous or noisy data.en_NZ
dc.formatpdfen_NZ
dc.identifier.urihttps://ir.wgtn.ac.nz/handle/123456789/19256
dc.language.isoen_NZ
dc.publisherTe Herenga Waka—Victoria University of Wellingtonen_NZ
dc.rightsPermission to publish research outputs of the New Zealand Institute for the Study of Competition and Regulation has been granted to the Victoria University of Wellington Library. Refer to the permission letter in record: https://ir.wgtn.ac.nz/handle/123456789/18870en_NZ
dc.subjectBankingen_NZ
dc.subjectEfficiencyen_NZ
dc.subjectEconometricsen_NZ
dc.subjectCost functionen_NZ
dc.subjectTranslogen_NZ
dc.titleTranslog Cost Function Estimation: Banking Efficiencyen_NZ
dc.typeTexten_NZ
vuwschema.contributor.unitVictoria Business School (Faculty of Commerce)en_NZ
vuwschema.subject.anzsrcfor149999 Economics not elsewhere classifieden_NZ
vuwschema.subject.anzsrcforV2389999 Other economics not elsewhere classifieden_NZ
vuwschema.type.vuwWorking or Occasional Paperen_NZ

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