| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w27122 |
| 来源ID | Working Paper 27122 |
| The Macroeconomics of Automation: Data, Theory, and Policy Analysis | |
| Nir Jaimovich; Itay Saporta-Eksten; Henry E. Siu; Yaniv Yedid-Levi | |
| 发表日期 | 2020-05-11 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | During the last four decades, the U.S. has experienced a fall in the employment in middle-wage, "routine-task-intensive," occupations. We analyze the characteristics of those who used to be employed in such occupations and show that this type of individual is nowadays more likely to be out of the labor force or working in low-paying occupations. Based on these findings, we develop a quantitative, general equilibrium model, with heterogeneous agents, labor force participation, occupational choice, and investment in physical and automation capital. We first use the model to evaluate the distributional consequences of automation. We find heterogeneity in its impact across different occupations, leading to a significant polarization in welfare. We then use this framework as a laboratory to evaluate various public policies such as retraining, and explicitly redistributive policies that transfer resources from those who benefit from automation to those who bear the brunt of its costs. We assess the tradeoffs between the aggregate impact and welfare distributional consequences of such policies. |
| 主题 | Macroeconomics ; Consumption and Investment ; Fiscal Policy |
| URL | https://www.nber.org/papers/w27122 |
| 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/584795 |
| 推荐引用方式 GB/T 7714 | Nir Jaimovich,Itay Saporta-Eksten,Henry E. Siu,et al. The Macroeconomics of Automation: Data, Theory, and Policy Analysis. 2020. |
| 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 | ||
| w27122.pdf（549KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
