Automating Labor: Evidence from Firm-Level Patent Data

Working Paper: CEPR ID: DP14249

Authors: Antoine Dechezleprêtre; David Hemous; Morten Olsen; Carlo Zanella

Abstract: 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.

Keywords: automation; innovation; patents; income inequality

JEL Codes: O31; O33; J20


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
high-skill wages (J31)automation innovations (O31)
low-skill wages (J31)automation innovations (O31)
Hartz labor market reforms in Germany (J48)automation innovations (O31)

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