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Contribution Details

Type Working Paper
Scope Discipline-based scholarship
Title Automating labor: evidence from firm-level patent data
Organization Unit
  • Antoine Dechezleprêtre
  • David Hémous
  • Morten Olsen
  • Carlo Zanella
  • English
Institution Centre for Economic Performance
Series Name CEP Discussion Papers
Number CEPDP1725
ISSN 2042-2695
Number of Pages 107
Date 2020
Abstract Text 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.
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