Semantic Scholar Open Access 2018 143 sitasi

Benign Effects of Automation: New Evidence from Patent Texts

Katja Mann Lukas Püttmann

Abstrak

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.

Topik & Kata Kunci

Penulis (2)

K

Katja Mann

L

Lukas Püttmann

Format Sitasi

Mann, K., Püttmann, L. (2018). Benign Effects of Automation: New Evidence from Patent Texts. https://doi.org/10.1162/rest_a_01083

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Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
143×
Sumber Database
Semantic Scholar
DOI
10.1162/rest_a_01083
Akses
Open Access ✓