Replication data for: Mismatch Unemployment

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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: 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:
      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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Published Versions

V1 [2019-10-11]

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