Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/250540 
Year of Publication: 
2021
Series/Report no.: 
IZA Discussion Papers No. 14879
Publisher: 
Institute of Labor Economics (IZA), Bonn
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.
Subjects: 
labour-saving technology
natural language processes
labour markets
technological unemployment
JEL: 
O33
J24
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.