Mismatch Unemployment

Giovanni Violante, Giorgio Topa, Aysegul Sahin and Joseph Song

No 9093, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: We 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 onlineU.S. job advertisements. Mismatch across industries and occupations explains at most 1/3 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.

Keywords: Great recession; Mismatch; Unemployment; Vacancies (search for similar items in EconPapers)
JEL-codes: E3 J2 J6 (search for similar items in EconPapers)
Date: 2012-08
New Economics Papers: this item is included in nep-lab and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)

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Related works:
Journal Article: Mismatch Unemployment (2014)
Working Paper: Mismatch unemployment (2012)
Working Paper: Mismatch Unemployment (2012)
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