Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/246813 
Erscheinungsjahr: 
2021
Schriftenreihe/Nr.: 
GLO Discussion Paper No. 987
Verlag: 
Global Labor Organization (GLO), Essen
Zusammenfassung: 
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.
Schlagwörter: 
Labour-Saving Technology
Natural Language Processes
Labour Markets
Technological Unemployment
JEL: 
O33
J24
Dokumentart: 
Working Paper

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