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|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 US unemployment by exploiting two sources of cross-sectional data on vacancies, JOLTS and HWOL. Our calculations indicate that mismatch, across industries and three-digit occupations, explains at most one-third 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.|
|Citation:||Şahin, A, Song, J, Topa, G, and Violante, GL. (2014). Mismatch unemployment. American Economic Review, 104 (11), 3529 - 3564. doi:10.1257/aer.104.11.3529|
|Pages:||3529 - 3564|
|Type of Material:||Journal Article|
|Journal/Proceeding Title:||American Economic Review|
|Version:||Final published version. Article is made available in OAR by the publisher's permission or policy.|
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