Purpose - Following a task-based framework, this paper investigatesthe impact of technology on occupational employment in Egypt (1998-2018) by examining the employment implications of the Routine-biased Technological Change (RBTC) hypothesis. Design/methodology/approach - The study estimates...

Do second chances at a high-stakes admission exam yield long-term gains? Leveraging fifteen years of Chilean administrative data and an RDD, we examine the causal effects of retaking on educational and labor market trajectories. Narrowly missing a preferred program cutoff triggers a 44% increase...

Immigrants across Europe earn less and work in lower-quality jobs than natives, but the mechanisms underlying these disparities remain poorly understood. This paper asks whether immigrant disadvantage reflects barriers to accessing good jobs or skill deficits that persist even within similar...

New digital and artificial intelligence technologies are fast reshaping skill requirements in the EU labour market, fostering skill mismatches. There are marked concerns about the potentially adverse consequences of automation and AI on employment, as well as the lagging competitiveness of EU...

This paper develops a task-adjusted, country-specific measure of workers' exposure to artificial intelligence (AI) across 108 countries. Building on Felten et al. (2021), we adapt the artificial intelligence occupational exposure (AIOE) index to worker-level data from the Programme for the...

How does being over- or underqualified at the beginning of a worker's career affect skill acquisition, retention, and promotion? Despite the importance of mismatch for the labor market, self-selection into jobs has made estimating these effects difficult. We overcome endogeneity concerns in the...

We estimate the effects of being over- or underqualified for a job using quasi-random assignment of new enlistees to over 130 different jobs in the US Air Force. Being overqualified causes higher attrition, both during technical training and afterward when individuals are working in their...

This paper develops a task-adjusted, country-specific measure of workers' exposure to Artificial Intelligence (AI) across 108 countries. Building on Felten et al. (2021), we adapt the Artificial Intelligence Occupational Exposure (AIOE) index to worker-level PIAAC data and extend it globally...