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http://hdl.handle.net/10419/62943
  

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dc.contributor.authorSahin, Aysegulen_US
dc.contributor.authorSong, Josephen_US
dc.contributor.authorTopa, Giorgioen_US
dc.contributor.authorViolante, Giowanni L.en_US
dc.date.accessioned2012-08-28en_US
dc.date.accessioned2012-09-20T13:06:04Z-
dc.date.available2012-09-20T13:06:04Z-
dc.date.issued2012en_US
dc.identifier.urihttp://hdl.handle.net/10419/62943-
dc.description.abstractWe develop a framework where mismatch between vacancies and job seekers across sectors translates into higher unemployment by lowering the aggregate job-finding rate. We use this framework to measure the contribution of mismatch to the recent rise in U.S. unemployment by exploiting two sources of cross-sectional data on vacancies, JOLTS and HWOL, a new database covering the universe of online U.S. job advertisements. Mismatch across industries and occupations explains at most one-third of the total observed increase in the unemployment rate, whereas geographical mismatch plays no apparent role. The share of the rise in unemployment explained by occupational mismatch is increasing in the education level.en_US
dc.language.isoengen_US
dc.publisherFederal Reserve Bank of New York New York, NYen_US
dc.relation.ispartofseriesStaff Report, Federal Reserve Bank of New York 566en_US
dc.subject.jelE24en_US
dc.subject.jelJ23en_US
dc.subject.jelJ63en_US
dc.subject.jelJ64en_US
dc.subject.ddc330en_US
dc.subject.keywordmismatch, vacancies, unemploymenten_US
dc.titleMismatch unemploymenten_US
dc.typeWorking Paperen_US
dc.identifier.ppn722364768en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
Appears in Collections:Staff Reports, Federal Reserve Bank of New York

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