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dc.contributor.authorDoran, J
dc.contributor.authorFingleton, Bernard
dc.date.accessioned2018-10-10T17:30:39Z
dc.date.available2018-10-10T17:30:39Z
dc.date.issued2018-02
dc.identifier.issn0308-518X
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/283576
dc.description.abstract<jats:p> In this paper, we show that the economic crisis commencing in 2007 had different impacts across US Metropolitan Statistical Areas, and seek to understand why differences occurred. The hypothesis of interest is that differences in industrial structure are a cause of variations in response to the crisis. Our approach uses a state-of-the art dynamic spatial panel model to obtain counterfactual predictions of Metropolitan Statistical Area employment levels from 2008 to 2014. The counterfactual employment series are compared with actual employment paths in order to obtain Metropolitan Statistical Area-specific measures of crisis impact, which then are analysed with a view to testing the hypothesis that resilience to the crisis was dependent on Metropolitan Statistical Area industrial structure. </jats:p>
dc.publisherSAGE Publications
dc.titleUS Metropolitan Area Resilience: Insights from dynamic spatial panel estimation
dc.typeArticle
prism.issueIdentifier1
prism.publicationDate2018
prism.publicationNameEnvironment and Planning A
prism.volume50
dc.identifier.doi10.17863/CAM.30938
dcterms.dateAccepted2017-08-24
rioxxterms.versionofrecord10.1177/0308518X17736067
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-02-01
dc.identifier.eissn1472-3409
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEconomic and Social Research Council (ES/L011921/1)
cam.issuedOnline2017-10-12
rioxxterms.freetoread.startdate2019-02-01


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