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Diane Publishing Books
Aysegul Sahin (au)
The authors develop a framework where mismatch between vacancies and job seekers across sectors translates into higher unemployment by lowering the aggregate job-finding rate. They 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, the Job Openings and Labor Turnover Survey (JOLTS) and the Conference Boardäó»s Help Wanted OnLine (HWOL), a 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. Figures and tables. This is a print on demand report.
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