Replication data for: Mismatch Unemployment
Principal Investigator(s): View help for Principal Investigator(s) Ayşegül Şahin; Joseph Song; Giorgio Topa; Giovanni L. Violante
Version: View help for Version V1
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Project Citation:
Sahin, Aysegül, Song, Joseph, Topa, Giorgio, and Violante, Giovanni L. Replication data for: Mismatch Unemployment. Nashville, TN: American Economic Association [publisher], 2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112705V1
Project Description
Summary:
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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. Our calculations indicate that mismatch, across industries and 3-digit occupations, explains at most 1/3 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.
Scope of Project
JEL Classification:
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E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
J22 Time Allocation and Labor Supply
J24 Human Capital; Skills; Occupational Choice; Labor Productivity
J41 Labor Contracts
J63 Labor Turnover; Vacancies; Layoffs
E24 Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
J22 Time Allocation and Labor Supply
J24 Human Capital; Skills; Occupational Choice; Labor Productivity
J41 Labor Contracts
J63 Labor Turnover; Vacancies; Layoffs
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