Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/63165 
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dc.contributor.authorBjøntegård, Eivinden
dc.date.accessioned2012-09-20T13:16:16Z-
dc.date.available2012-09-20T13:16:16Z-
dc.date.issued1999-
dc.identifier.urihttp://hdl.handle.net/10419/63165-
dc.description.abstractJohansen (1972) explains how a short run macro production function can be derived on the basis of a distribution of micro production units with respect to fixed input coefficients. The present note points out that the composite mean regression, introduced by Frisch (1929), can be useful in analysing some of the production models in Johansen (1972). The focus is on complementary, alternative and marginally independent production factors at the macro level in a production model which assumes efficient allocation of given quantities of inputs.en
dc.language.isoengen
dc.publisher|aUniversity of Oslo, Department of Economics |cOsloen
dc.relation.ispartofseries|aMemorandum |x1999,05en
dc.subject.ddc330en
dc.subject.keywordComposite mean regressionen
dc.subject.keywordcomplementaryen
dc.subject.keywordalternative and marginally independent production factorsen
dc.subject.keywordmacro production functionsen
dc.subject.stwRegressionen
dc.subject.stwProduktionsfunktionen
dc.subject.stwTheorieen
dc.titleThe composite mean regression as a tool in production studies-
dc.typeWorking Paperen
dc.identifier.ppn323420141en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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