| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP13802 |
| DP13802 Who Is Afraid of Machines? | |
| Sotiris Blanas; Gino Gancia; Sang Yoon (Tim) Lee | |
| 发表日期 | 2019-06-16 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | We study how various types of machines, namely, information and communication technologies, software, and especially industrial robots, affect the demand for workers of different education, age, and gender. We do so by exploiting differences in the composition of workers across countries, industries and time. Our dataset comprises 10 high-income countries and 30 industries, which span roughly their entire economies, with annual observations over the period 1982-2005. The results suggest that software and robots reduced the demand for low and medium-skill workers, the young, and women - especially in manufacturing industries; but raised the demand for high-skill workers, older workers and men - especially in service industries. These findings are consistent with the hypothesis that automation technologies, contrary to other types of capital, replace humans performing routine tasks. We also find evidence for some types of workers, especially women, having shifted away from such tasks. |
| 主题 | International Trade and Regional Economics ; Macroeconomics and Growth |
| 关键词 | Automation robots Employment Labor demand Labor income share |
| URL | https://cepr.org/publications/dp13802 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/542675 |
| 推荐引用方式 GB/T 7714 | Sotiris Blanas,Gino Gancia,Sang Yoon . DP13802 Who Is Afraid of Machines?. 2019. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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