Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/259538 
Year of Publication: 
2021
Series/Report no.: 
LEM Working Paper Series No. 2021/43
Publisher: 
Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM), Pisa
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.
Subjects: 
Labour-Saving Technology
Natural Language Processes
Labour Markets
Technological Unemployment
JEL: 
O33
J24
Document Type: 
Working Paper

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