Template-type: ReDIF-Paper 1.0
Author-Name: Montobbio, Fabio
Author-Email: fabio.montobbio@unicatt.it
Author-Workplace-Name: Università Cattolica del Sacro Cuore, BRICK, Collegio
	 Carlo Alberto, and ICRIOS, Bocconi University
Author-Name: Staccioli, Jacopo
Author-Email: jacopo.staccioli@unicatt.it
Author-Workplace-Name: Università Cattolica del Sacro Cuore, and Institute of
	 Economics, Scuola Superiore Sant’Anna
Author-Name: Maria Enrica Virgillito
Author-Email: mariaenrica.virgillito@santannapisa.it
Author-Workplace-Name: Institute of Economics, Scuola Superiore Sant’Anna, and
	 Università Cattolica del Sacro Cuore
Author-Name: Vivarelli, Marco
Author-Email: vivarelli@merit.unu.edu
Author-Workplace-Name: UNU-MERIT, Maastricht University, IZA, and Università
	 Cattolica del Sacro Cuore
Title: Labour-saving automation and occupational exposure: A text-similarity measure
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.
Classification-JEL: O33, J24
Keywords: Labour-Saving Technology, Natural Language Processes, Labour Markets,
	 Technological Unemployment
Series: UNU-MERIT Working Papers
Creation-Date: 20211125
Number: 2021-044
File-URL: https://unu-merit.nl/publications/wppdf/2021/wp2021-044.pdf
File-Format: application/pdf
File-Size: 275 Kb
Handle: RePEc:unm:unumer:2021044