In this article, we examine how technology is associated with self-employment dynamics using worker-level data from 30 European countries. We find that, while employees exposed to labour-augmenting technologies are more likely to move from paid employment to solo self-employment and vice-versa,...

This paper studies the relationship between exposure to artificial intelligence (AI) and workers' wages across European countries. Overall, a positive relationship between exposure to AI and workers' wages is found, however it differs considerably between workers and countries. High-skilled...

This paper studies the relationship between participation in global value chains, worker routine task intensity, and within-country wage inequality. It uses unique survey data from 47 countries across the development spectrum to calculate worker-level, country-specific routine task intensity and...

In the originally published version of this manuscript, captions in Figures 3 and 6 were mistakenly removed during the production process. The Publisher apologizes for this error, which has now been corrected.https://doi.org/10.1093/wber/lhac005

This study introduces a methodology to estimate the economy-specific task content of occupations across economies at different income levels. Combining these with employment data in 87 economies, the results show that occupations in low- and middle-income economies are more routine-intensive...

The shift from routine work to nonroutine cognitive work is a key feature of labor markets globally, but there is little evidence on the extent to which tasks differ among workers performing the same jobs in different countries. This paper constructs survey-based measures of routine task...

Using a text-mining approach applied to task descriptions of occupations together with workerlevel administrative data, we explore the growth in the greenness of employment in Germany between 2012 and 2022. We first demonstrate that the greening of the labour market occurs both through an...