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dc.contributor.authorBrasch, Thomas von
dc.contributor.authorCappelen, Ådne
dc.contributor.authorIancu, Diana-Cristina
dc.coverage.spatialNorwaynb_NO
dc.date.accessioned2019-07-29T10:34:02Z
dc.date.available2019-07-29T10:34:02Z
dc.date.issued2015-09
dc.identifier.issn1892-753X
dc.identifier.urihttp://hdl.handle.net/11250/2606610
dc.description.abstractMany OECD countries have experienced a slowdown in measured labour productivity from 2005 and onwards. Norway is no exception in this respect. Most countries use a simple aggregate of hours worked when measuring labour productivity. One way to improve measurement of labour services is to control for worker characteristics. A theoretical rationale for doing so is given by Diewert and Lippe (2010). We generalise previous analyses by allowing for exit and entry of workers when measuring labour services using Norwegian microdata. We find that the bias from using hours worked compared to a labour index capturing various compositional effects can be substantial and systematic over time. In the case of Norway the bias explains about a quarter of the productivity slowdown after 2005.nb_NO
dc.language.isoengnb_NO
dc.publisherStatistisk sentralbyrånb_NO
dc.relation.ispartofseriesDiscussion papers;818
dc.subjectLabour productivitynb_NO
dc.subjectArbeidsproduktivitetnb_NO
dc.subjectIndex numbersnb_NO
dc.subjectUnit value indicesnb_NO
dc.subjectDrobish indexnb_NO
dc.subjectDrobishindeksnb_NO
dc.titleUnderstanding the productivity slowdown The importance of entry and exit of workersnb_NO
dc.typeWorking papernb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber35 s.nb_NO


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