Mismatch unemployment

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Staff Report ; No. 566

Classification and Topics

• Classification: Wirtschaft ; Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity ; Labor Demand ; Labor Turnover; Vacancies; Layoffs ; Unemployment: Models, Duration, Incidence, and Job Search
• Subject: mismatch, vacancies, unemployment

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Sahin, Aysegul ; Song, Joseph ; Topa, Giorgio ; Violante, Giowanni L.
• Event: Veröffentlichung
• (who): Federal Reserve Bank of New York
• (where): New York, NY
• (when): 2012

Further information

• Handle: http://hdl.handle.net/10419/62943
• Last update: 10.03.2025, 11:43 AM CET