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dc.contributor.authorSahin, Aysegulen
dc.contributor.authorSong, Josephen
dc.contributor.authorTopa, Giorgioen
dc.contributor.authorViolante, Giowanni L.en
dc.date.accessioned2012-08-28-
dc.date.accessioned2012-09-20T13:06:04Z-
dc.date.available2012-09-20T13:06:04Z-
dc.date.issued2012-
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
dc.language.isoengen
dc.publisher|aFederal Reserve Bank of New York |cNew York, NYen
dc.relation.ispartofseries|aStaff Report |x566en
dc.subject.jelE24en
dc.subject.jelJ23en
dc.subject.jelJ63en
dc.subject.jelJ64en
dc.subject.ddc330en
dc.subject.keywordmismatch, vacancies, unemploymenten
dc.titleMismatch unemployment-
dc.typeWorking Paperen
dc.identifier.ppn722364768en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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