Nicht auf Deutsch verfügbar.
Alena Wabitsch
- 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
- 4 October 2021
- WORKING PAPER SERIES - No. 2594Details
- Abstract
- Central banks have intensified their communication with non-experts – an endeavour which some have argued is bound to fail. This paper studies English and German Twitter traffic about the ECB to understand whether its communication is received by non-experts and how it affects their views. It shows that Twitter traffic is responsive to ECB communication, also for non-experts. For several ECB communication events, Twitter constitutes primarily a channel to relay information: tweets become more factual and the views expressed more moderate and homogeneous. Other communication events, such as former President Draghi’s “Whatever it takes” statement, trigger persistent traffic and a divergence in views. Also, ECB-related tweets are more likely to get retweeted or liked if they express stronger or more subjective views. Thus, Twitter also serves as a platform for controversial discussions. The findings suggest that central banks manage to reach non-experts, i.e. their communication is not a road to nowhere.
- JEL Code
- E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies