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dc.contributor.authorCheng, Xiaomei
dc.contributor.authorBjørndal, Endre
dc.contributor.authorBjørndal, Mette
dc.date.accessioned2015-09-24T10:24:51Z
dc.date.available2015-09-24T10:24:51Z
dc.date.issued2015-09-24
dc.identifier.issn1500-4066
dc.identifier.urihttp://hdl.handle.net/11250/301609
dc.description.abstractWe construct a Malmquist productivity index based on stochastic non-parametric envelopment of data (StoNED) method, and we study how the distributional assumptions in the second StoNED stage affect productivity change and its decompositions. Our discussion show that the distributional assumptions do not affect the estimates of overall productivity change and scale efficiency change, but that estimates of efficiency change and technical change are affected. Data on Norwegian electricity distribution companies is used to illustrate our discussion.nb_NO
dc.language.isoengnb_NO
dc.publisherFORnb_NO
dc.relation.ispartofseriesDiscussion paper;25/15
dc.subjectproductivity and competitivenessnb_NO
dc.subjectStoNEDnb_NO
dc.subjectMalmquist productivity indexnb_NO
dc.subjectwrong skewness issuenb_NO
dc.titleMalmquist Productivity Analysis based on StoNEDnb_NO
dc.typeWorking papernb_NO


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