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dc.contributor.authorTsionas, MGen_US
dc.contributor.authorMallick, SKen_US
dc.date.accessioned2018-11-08T16:39:16Z
dc.date.available2018-10-12en_US
dc.date.issued2019-04-01en_US
dc.date.submitted2018-11-07T10:51:32.849Z
dc.identifier.issn0377-2217en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/49683
dc.format.extent391 - 402en_US
dc.language.isoenen_US
dc.relation.ispartofEUROPEAN JOURNAL OF OPERATIONAL RESEARCHen_US
dc.subjectProductivity and competitivenessen_US
dc.subjectStochastic frontier modelen_US
dc.subjectEndogenous Regressorsen_US
dc.subjectSequential Monte Carloen_US
dc.subjectParticle-filteringen_US
dc.titleA Bayesian semiparametric approach to stochastic frontiers and productivityen_US
dc.typeArticle
dc.rights.holder© 2018 Elsevier B.V. All rights reserved.
dc.identifier.doi10.1016/j.ejor.2018.10.026en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000456904600027&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue1en_US
pubs.notesNot knownen_US
pubs.publication-statusAccepteden_US
pubs.volume274en_US


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