| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w19767 |
| 来源ID | Working Paper 19767 |
| Technological Learning and Labor Market Dynamics | |
| Martin Gervais; Nir Jaimovich; Henry E. Siu; Yaniv Yedid-Levi | |
| 发表日期 | 2013-12-26 |
| 出版年 | 2013 |
| 语种 | 英语 |
| 摘要 | The search-and-matching model of the labor market fails to match two important business cycle facts: (i) a high volatility of unemployment relative to labor productivity, and (ii) a mild correlation between these two variables. We address these shortcomings by focusing on technological learning-by-doing: the notion that it takes workers time using a technology before reaching their full productive potential with it. We consider a novel source of business cycles, namely, fluctuations in the speed of technological learning and show that a search-and-matching model featuring such shocks can account for both facts. Moreover, our model provides a new interpretation of recently discussed "news shocks." |
| 主题 | Macroeconomics ; Consumption and Investment ; Business Cycles ; Labor Economics ; Unemployment and Immigration |
| URL | https://www.nber.org/papers/w19767 |
| 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/577441 |
| 推荐引用方式 GB/T 7714 | Martin Gervais,Nir Jaimovich,Henry E. Siu,et al. Technological Learning and Labor Market Dynamics. 2013. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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