Labour-saving automation: A direct measure of occupational exposure

  • Fabio Montobbio
  • , Jacopo Staccioli
  • , Maria Enrica Virgillito*
  • , Marco Vivarelli
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

This article represents one of the first attempts at building a direct measure of occupational exposure to robotic labour-saving technologies. After identifying robotic and labour-saving robotic patents, the underlying 4-digit CPC (Cooperative Patent Classification) code definitions, together with O*NET (Occupational Information Network) task descriptions, are employed to detect functions and operations which are more directed to substituting the labour input and their exposure to labour-saving automation. This measure allows us to obtain fine-grained information on tasks and occupations according to their text similarity ranking. Occupational exposure by wage and employment dynamics in the United States is then studied, and complemented by investigating industry and geographical penetration rates.
Original languageEnglish
Pages (from-to)332-361
Number of pages30
JournalThe World Economy
Volume47
Issue number1
Early online date24 Nov 2023
DOIs
Publication statusPublished - Jan 2024

JEL classifications

  • o32 - Management of Technological Innovation and R&D
  • j24 - "Human Capital; Skills; Occupational Choice; Labor Productivity"
  • o15 - "Economic Development: Human Resources; Human Development; Income Distribution; Migration"

Keywords

  • labour markets
  • labour-saving technology
  • natural language processes
  • technological unemployment

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