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Translog Cost Function Estimation: Banking Efficiency

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dc.contributor.author Daglish, Toby
dc.contributor.author Robertson, Oliver
dc.contributor.author Tripe, David
dc.contributor.author Weill, Laurent
dc.date.accessioned 2015-03-05T20:32:25Z
dc.date.accessioned 2022-07-07T02:22:40Z
dc.date.available 2015
dc.date.available 2015-03-05T20:32:25Z
dc.date.available 2022-07-07T02:22:40Z
dc.date.copyright 2015
dc.date.issued 2015
dc.identifier.uri https://ir.wgtn.ac.nz/handle/123456789/19256
dc.description.abstract This 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.format pdf en_NZ
dc.language.iso en_NZ
dc.publisher Te Herenga Waka—Victoria University of Wellington en_NZ
dc.rights Permission 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/123456789/18870 en_NZ
dc.subject Banking en_NZ
dc.subject Efficiency en_NZ
dc.subject Econometrics en_NZ
dc.subject Cost function en_NZ
dc.subject Translog en_NZ
dc.title Translog Cost Function Estimation: Banking Efficiency en_NZ
dc.type Text en_NZ
vuwschema.contributor.unit Victoria Business School (Faculty of Commerce) en_NZ
vuwschema.subject.anzsrcfor 149999 Economics not elsewhere classified en_NZ
vuwschema.type.vuw Working or Occasional Paper en_NZ
vuwschema.subject.anzsrcforV2 389999 Other economics not elsewhere classified en_NZ

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