| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP14249 |
| DP14249 Automating Labor: Evidence from Firm-level Patent Data | |
| Antoine Dechezleprêtre; David Hemous; Morten Olsen; carlo Zanella | |
| 发表日期 | 2019-12-25 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | Do higher wages lead to more automation innovation? To answer this question, we first introduce a new measure of automation by using the frequency of certain keywords in patent text to identify automation innovations in machinery. We validate our measure by showing that it is correlated with a reduction in routine tasks in a cross-sectoral analysis in the US. Then we build a firm-level panel dataset on automation patents. We combine macroeconomic data from 41 countries and information on geographical patent history to build firm-specific measures of low-skill and high-skill wages. We find that an increase in low-skill wages leads to more automation innovation with an elasticity between 2 and 4. An increase in high-skill wages tends to reduce automation innovation. Placebo regressions show that the effect is specific to automation innovations. Finally, we use the Hartz labor market reforms in Germany for an event study and find that they are associated with a relative reduction in automation innovations. |
| 主题 | Labour Economics ; Macroeconomics and Growth |
| 关键词 | Automation Innovation Patents Income inequality |
| URL | https://cepr.org/publications/dp14249 |
| 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/543135 |
| 推荐引用方式 GB/T 7714 | Antoine Dechezleprêtre,David Hemous,Morten Olsen,et al. DP14249 Automating Labor: Evidence from Firm-level Patent Data. 2019. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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