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dc.contributor.authorGjestland, Arnstein
dc.contributor.authorOsland, Liv
dc.contributor.authorThorsen, Inge
dc.date.accessioned2021-03-09T09:09:05Z
dc.date.available2021-03-09T09:09:05Z
dc.date.created2021-03-01T20:13:50Z
dc.date.issued2020
dc.identifier.citationOsland, L., Gjestland, A., & Thorsen, I. (2020). Measures of labour market accessibility. What can we learn from observed commuting patterns? Region, 7(1), 49-70.en_US
dc.identifier.issn2409-5370
dc.identifier.urihttps://hdl.handle.net/11250/2732299
dc.description.abstractIt is well known that measures of labour market accessibility explains spatial variation in housing prices even in markets with polycentric labour market structures. This paper examines whether data on observed commuting patterns can replace or supplement gravity-based measures representing the commuting potential at specific locations. We use data from a region in Western Norway,and we find that measures based on observed commuting flows and commuting time cannot replace a gravity-based measure of labour market accessibility. Based on, inter alia, the spatial Durbin estimator we find that measures of observed commuting flows increase the explanatory power of a hedonic house price model.en_US
dc.language.isoengen_US
dc.publisherEuropean Regional Science Association (ERSA)en_US
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.titleMeasures of labour market accessibility. What can we learn from observed commuting patterns?en_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2020 by the authors.en_US
dc.source.pagenumber49-70en_US
dc.source.volume7en_US
dc.source.journalREGIONen_US
dc.source.issue1en_US
dc.identifier.doi10.18335/region.v7i1.261
dc.identifier.cristin1894703
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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