| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w18265 |
| 来源ID | Working Paper 18265 |
| Mismatch Unemployment | |
| Ayşegül Şahin; Joseph Song; Giorgio Topa; Giovanni L. Violante | |
| 发表日期 | 2012-08-02 |
| 出版年 | 2012 |
| 语种 | 英语 |
| 摘要 | 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 1/3 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. |
| 主题 | Macroeconomics ; Consumption and Investment ; Labor Economics ; Labor Supply and Demand ; Unemployment and Immigration |
| URL | https://www.nber.org/papers/w18265 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/575942 |
| 推荐引用方式 GB/T 7714 | Ayşegül Şahin,Joseph Song,Giorgio Topa,et al. Mismatch Unemployment. 2012. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w18265.pdf（591KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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