Labour-saving automation and occupational exposure: A text-similarity measure

Fabio Montobbio, Jacopo Staccioli, Maria Enrica Virgillito and Marco Vivarelli (marco.vivarelli@unicatt.it)

No 2021-044, MERIT Working Papers from United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT)

Abstract: This paper represents one of the first attempts at building a direct measure of occupational exposure to robotic labour-saving technologies. After identifying robotic and LS robotic patents retrieved by Montobbio et al. (2022), the underlying 4-digit CPC definitions are employed in order to detect functions and operations performed by technological artefacts which are more directed to substitute the labour input. This measure allows to obtain fine-grained information on tasks and occupations according to their similarity ranking. Occupational exposure by wage and employment dynamics in the United States is then studied, complemented by investigating industry and geographical penetration rates.

Keywords: Labour-Saving Technology; Natural Language Processes; Labour Markets; Technological Unemployment (search for similar items in EconPapers)
JEL-codes: J24 O33 (search for similar items in EconPapers)
Date: 2021-11-25
New Economics Papers: this item is included in nep-big, nep-his, nep-lma and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://unu-merit.nl/publications/wppdf/2021/wp2021-044.pdf (application/pdf)

Related works:
Working Paper: Labour-saving automation and occupational exposure: a text-similarity measure (2021)
Working Paper: Labour-Saving Automation and Occupational Exposure: A Text-Similarity Measure (2021)
Working Paper: Labour-saving automation and occupational exposure: a text-similarity measure (2021)
Working Paper: Labour-saving automation and occupational exposure: a text-similarity measure (2021)
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:unm:unumer:2021044

Access Statistics for this paper

More papers in MERIT Working Papers from United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT) Contact information at EDIRC.
Bibliographic data for series maintained by Ad Notten (library@merit.unu.edu this e-mail address is bad, please contact repec@repec.org).