Benign Effects of Automation: New Evidence from Patent Texts

Katja Mann, Lukas Püttmann

Research output: Other contributionNet publication - Internet publicationCommunication

Abstract

Researchers disagree over whether automation is creating or destroying jobs. This column introduces a new indicator of automation constructed by applying a machine learning algorithm to classify patents, and uses the result to investigate which US regions and industries are most exposed to automation. This indicator suggests that automation has created more jobs in the US than it has destroyed.
Original languageEnglish
Publication date7 Dec 2017
Place of PublicationLondon
PublisherCentre for Economic Policy Research
Publication statusPublished - 7 Dec 2017
Externally publishedYes

Cite this

Mann, K., & Püttmann, L. (2017, Dec 7). Benign Effects of Automation: New Evidence from Patent Texts. London: Centre for Economic Policy Research.
Mann, Katja ; Püttmann, Lukas. / Benign Effects of Automation : New Evidence from Patent Texts. 2017. London : Centre for Economic Policy Research.
@misc{06360d082f974713af8b26716df62f82,
title = "Benign Effects of Automation: New Evidence from Patent Texts",
abstract = "Researchers disagree over whether automation is creating or destroying jobs. This column introduces a new indicator of automation constructed by applying a machine learning algorithm to classify patents, and uses the result to investigate which US regions and industries are most exposed to automation. This indicator suggests that automation has created more jobs in the US than it has destroyed.",
author = "Katja Mann and Lukas P{\"u}ttmann",
year = "2017",
month = "12",
day = "7",
language = "English",
publisher = "Centre for Economic Policy Research",
address = "United Kingdom",
type = "Other",

}

Mann, K & Püttmann, L 2017, Benign Effects of Automation: New Evidence from Patent Texts. Centre for Economic Policy Research, London.

Benign Effects of Automation : New Evidence from Patent Texts. / Mann, Katja; Püttmann, Lukas.

London : Centre for Economic Policy Research. 2017, Article.

Research output: Other contributionNet publication - Internet publicationCommunication

TY - ICOMM

T1 - Benign Effects of Automation

T2 - New Evidence from Patent Texts

AU - Mann, Katja

AU - Püttmann, Lukas

PY - 2017/12/7

Y1 - 2017/12/7

N2 - Researchers disagree over whether automation is creating or destroying jobs. This column introduces a new indicator of automation constructed by applying a machine learning algorithm to classify patents, and uses the result to investigate which US regions and industries are most exposed to automation. This indicator suggests that automation has created more jobs in the US than it has destroyed.

AB - Researchers disagree over whether automation is creating or destroying jobs. This column introduces a new indicator of automation constructed by applying a machine learning algorithm to classify patents, and uses the result to investigate which US regions and industries are most exposed to automation. This indicator suggests that automation has created more jobs in the US than it has destroyed.

M3 - Net publication - Internet publication

PB - Centre for Economic Policy Research

CY - London

ER -