Arbeitspapier

Mismatch unemployment

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.

Sprache
Englisch

Erschienen in
Series: Staff Report ; No. 566

Klassifikation
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
Thema
mismatch, vacancies, unemployment

Ereignis
Geistige Schöpfung
(wer)
Sahin, Aysegul
Song, Joseph
Topa, Giorgio
Violante, Giowanni L.
Ereignis
Veröffentlichung
(wer)
Federal Reserve Bank of New York
(wo)
New York, NY
(wann)
2012

Handle
Letzte Aktualisierung
20.09.2024, 08:21 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Sahin, Aysegul
  • Song, Joseph
  • Topa, Giorgio
  • Violante, Giowanni L.
  • Federal Reserve Bank of New York

Entstanden

  • 2012

Ähnliche Objekte (12)