Abstract
This article 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, the underlying 4-digit CPC (Cooperative Patent Classification) code definitions, together with O*NET (Occupational Information Network) task descriptions, are employed to detect functions and operations which are more directed to substituting the labour input and their exposure to labour-saving automation. This measure allows us to obtain fine-grained information on tasks and occupations according to their text similarity ranking. Occupational exposure by wage and employment dynamics in the United States is then studied, and complemented by investigating industry and geographical penetration rates.
| Original language | English |
|---|---|
| Pages (from-to) | 332-361 |
| Number of pages | 30 |
| Journal | The World Economy |
| Volume | 47 |
| Issue number | 1 |
| Early online date | 24 Nov 2023 |
| DOIs | |
| Publication status | Published - Jan 2024 |
JEL classifications
- o32 - Management of Technological Innovation and R&D
- j24 - "Human Capital; Skills; Occupational Choice; Labor Productivity"
- o15 - "Economic Development: Human Resources; Human Development; Income Distribution; Migration"
Keywords
- labour markets
- labour-saving technology
- natural language processes
- technological unemployment
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