Template-Type: ReDIF-Paper 1.0
Author-Name: Fabio Montobbio
Author-X-Name-First: Fabio
Author-X-Name-Last: Montobbio
Author-Email: fabio.montobbio@unicatt.it
Author-Workplace-Name: Dipartimento di Politica Economica, DISCE, Università Cattolica del Sacro Cuore – BRICK, Collegio Carlo Alberto, Torino – ICRIOS, Bocconi University, Milano
Author-Name: Jacopo Staccioli
Author-X-Name-First: Jacopo
Author-X-Name-Last: Staccioli
Author-Email: jacopo.staccioli@unicatt.it
Author-Workplace-Name: Dipartimento di Politica Economica, DISCE, Università Cattolica del Sacro Cuore – Institute of Economics, Scuola Superiore Sant’Anna, Pisa
Author-Name: Maria Enrica Virgillito
Author-X-Name-First: Maria Enrica
Author-X-Name-Last: Virgillito
Author-Email: mariaenrica.virgillito@santannapisa.it
Author-Workplace-Name: Institute of Economics, Scuola Superiore Sant’Anna, Pisa – Dipartimento di Politica Economica, DISCE, Università Cattolica del Sacro Cuore
Author-Name: Marco Vivarelli
Author-X-Name-First: Marco
Author-X-Name-Last: Vivarelli
Author-Email: marco.vivarelli@unicatt.it
Author-Workplace-Name: Dipartimento di Politica Economica, DISCE, Università Cattolica del Sacro Cuore – UNU-MERIT, Maastricht, The Netherlands – IZA, Bonn, Germany
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 labour-saving 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. 
Length: 35
Creation-Date: 2021-11
File-URL: http://dipartimenti.unicatt.it/politica-economica-DIPE0021.pdf
File-Format: Application/pdf
File-Function: First version, 2021
Number: dipe0021
Classification-JEL: O33, J24
Keywords: Labour-Saving Technology, Natural Language Processes, Labour Markets, Technological Unemployment
Handle: RePEc:ctc:serie5:dipe0021