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dc.contributor.authorKvamsdal, Sturla Furunes
dc.date.accessioned2013-03-12T12:35:58Z
dc.date.available2013-03-12T12:35:58Z
dc.date.issued2012-12
dc.identifier.issn1500-4066
dc.identifier.urihttp://hdl.handle.net/11250/164193
dc.description.abstractI set forth a generalized stochastic time trend approach, based upon the Kalman filter, as an alternative to the general index approach to measure technological change. Technology is treated as a latent variable in a state-space model of the production function. In data sparse settings, where panel data are unavailable, the method provides results which encompass insights from the general index approach, but provides more detailed estimates. I revisit an analysis of technological change in the Lofoten fishery. The estimated technology time profiles agree to some extent between the methods, but my more detailed results demand a new historical interpretation.no_NO
dc.language.isoengno_NO
dc.publisherNorwegian School of Economics. Department of Finance and Management Scienceno_NO
dc.relation.ispartofseriesDiscussion paper;2012:14
dc.titleTechnological change in renewable resource industries: an alternativeno_NO
dc.typeWorking paperno_NO
dc.subject.nsiVDP::Social science: 200::Economics: 210::Business: 213no_NO


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