Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/62943
Authors: 
Sahin, Aysegul
Song, Joseph
Topa, Giorgio
Violante, Giowanni L.
Year of Publication: 
2012
Series/Report no.: 
Staff Report, Federal Reserve Bank of New York 566
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 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.
Subjects: 
mismatch, vacancies, unemployment
JEL: 
E24
J23
J63
J64
Document Type: 
Working Paper

Files in This Item:
File
Size
731.01 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.