Benign Effects of Automation: New Evidence from Patent Texts
Katja Mann and
Lukas Püttmann
Additional contact information
Katja Mann: Copenhagen Business School
Lukas Püttmann: Unaffiliated
The Review of Economics and Statistics, 2023, vol. 105, issue 3, 562-579
Abstract:
We provide a new measure of automation based on patents and study its employment effects. Classifying all U.S. patents granted between 1976 and 2014 as automation or nonautomation patents, we document a strong rise in the number and share of automation patents. We link patents to their industries of use and to commuting zones. To estimate the effect of automation, we use an instrumental variables strategy that relies on innovations developed independently from U.S. labor market trends. We find that automation technology has a positive effect on employment in local labor markets, driven by job growth in the service sector.
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (28)
Downloads: (external link)
https://doi.org/10.1162/rest_a_01083
Access to PDF is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tpr:restat:v:105:y:2023:i:3:p:562-579
Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535
Access Statistics for this article
The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu
More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by The MIT Press ().