Ei ole eesti keeles kättesaadav
Stefania Albanesi
- 25 July 2025
- WORKING PAPER SERIES - No. 3077Details
- Abstract
- We examine the link between the diffusion of artificial intelligence (AI) enabled technologies and changes in the female employment share in 16 European countries over the period 2011-2019. Using data for occupations at the 3-digit level, we find that on average female employment shares increased in occupations more exposed to AI. Countries with high initial female labor force participation and higher initial female relative education show a stronger positive association. While there exists heterogeneity across countries, almost all show a positive relation between changes in female employment shares within occupations and exposure to AI-enabled automation.
- JEL Code
- J23 : Labor and Demographic Economics→Demand and Supply of Labor→Labor Demand
O33 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Technological Change: Choices and Consequences, Diffusion Processes
- 28 November 2023
- RESEARCH BULLETIN - No. 113Details
- Abstract
- Recent advances in artificial intelligence have been met with anxiety about the future of jobs. This article examines the link between AI-enabled technologies and employment shares across 16 European countries, finding that occupations potentially more exposed to AI-enabled technologies increased their employment share during the period 2010-19. This has been particularly the case for occupations with a relatively higher proportion of younger and skilled workers.
- JEL Code
- J23 : Labor and Demographic Economics→Demand and Supply of Labor→Labor Demand
O33 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Technological Change: Choices and Consequences, Diffusion Processes
- 14 July 2023
- WORKING PAPER SERIES - No. 2831Details
- Abstract
- We examine the link between labour market developments and new technologies such as artificial intelligence (AI) and software in 16 European countries over the period 2011-2019. Using data for occupations at the 3-digit level in Europe, we find that on average employment shares have increased in occupations more exposed to AI. This is particularly the case for occupations with a relatively higher proportion of younger and skilled workers. This evidence is in line with the Skill Biased Technological Change theory. While there exists heterogeneity across countries, only very few countries show a decline in employment shares of occupations more exposed to AI-enabled automation. Country heterogeneity for this result seems to be linked to the pace of technology diffusion and education, but also to the level of product market regulation (competition) and employment protection laws. In contrast to the findings for employment, we find little evidence for a relationship between wages and potential exposures to new technologies.
- JEL Code
- J23 : Labor and Demographic Economics→Demand and Supply of Labor→Labor Demand
O33 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Technological Change: Choices and Consequences, Diffusion Processes