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  • 标题:Automating labor: evidence from firm-level patent data
  • 本地全文:下载
  • 作者:Antoine Dechezleprêtre ; David Hemous ; Morten Olsen
  • 期刊名称:CEP Discussion Paper
  • 出版年度:2020
  • 卷号:2020
  • 语种:English
  • 出版社:Centre for Economic Performance
  • 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 lowskill 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 highskill 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.
  • 关键词:automation;innovation;patents;income inequality
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