Using a mix of household- and employer-based survey data from 46 countries, we provide novel evidence that workers in larger establishments perform more non-routine analytical tasks, even within narrowly defined occupations. Moreover, workers in larger establishments rely more on the use of...

How informative are job ads about the actual pay and amenities offered by employers? Using a comprehensive database of job ads posted by Norwegian employers, we develop a methodology to systematically classify the information on both pay and non-pay job attributes advertised in vacancy texts. We...

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...

This study presents patterns of gender stereotyping in job ads in the German labor market and examines its association with the unequal distribution of men and women across occupations. Using a large dataset of job ads from the "BA-Jobbörse", one of the largest online job portals in Germany, we...

Mistakes at work can lead to learning and personal development or can massively harm one's professional career. How a mistake affects a professional career often depends on how it is perceived by involved individuals (e.g. supervisors). In the present study we investigate two different types of...

We use individual survey data providing detailed information on stress, technology adoption, and work, worker, and employer characteristics, in combination with recent measures of AI and robot exposure, to investigate how new technologies affect worker stress. We find a persistent negative...

Using a text-mining approach applied to task descriptions of occupations together with worker-level administrative data, we explore the growth in the greenness of employment in Germany between 2012 and 2022. We first show that the greening of occupations over time (“within-effect”) is as...