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Mismatch Unemployment

Authors: Ayşegül Şahin; Joseph Song; Giorgio Topa; Giovanni L. Violante;

Mismatch Unemployment

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 US unemployment by exploiting two sources of cross-sectional data on vacancies, JOLTS and HWOL. Our calculations indicate that mismatch, across industries and three-digit occupations, explains at most one-third of the total observed increase in the unemployment rate. Occupational mismatch has become especially more severe for college graduates, and in the West of the United States. Geographical mismatch unemployment plays no apparent role. (JEL E24, J22, J24, J41, J63)

Keywords

ddc:330, mismatch; vacancies; unemployment, J23, mismatch, vacancies, unemployment, great recession; mismatch; unemployment; vacancies, E24, J63, J64, jel: jel:J61, jel: jel:J64, jel: jel:J62, jel: jel:E24, jel: jel:J41, jel: jel:J63, jel: jel:J24, jel: jel:J22, jel: jel:J2, jel: jel:J23, jel: jel:J6, jel: jel:E3

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
231
Top 1%
Top 1%
Top 10%
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