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...

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...

There is little knowledge about the shape, prominence and drivers of work-to-work transitions in low- and middle-income countries. This paper examines these elements in the context of South Africa and Indonesia - two middle-income countries with similar development levels yet different labour...

Firm training is key to meeting changing skill demands, yet little is known about the role of workers' beliefs in shaping training participation. In a survey of 3,701 workers in Germany, we document that they expect substantial returns to firm training - both in terms of earnings and...

The objective of this policy note is to provide an overview of the status of digital skills in Nigeria from a comparative perspective and understand how prepared educational institutions are to help develop the digital skills of the population. First, the note summarizes the status of access to...

This paper validates a new set of behavioral measures for socioemotional skills across three Sub-Saharan African countries-Côte d'Ivoire, Nigeria, and Tanzania-and compares them to widely used self-reported measures. The behavioral measures demonstrate strong psychometric properties and are...

Identifying sensitive periods in which the returns to investments into skills are especially high is challenging, but crucial for an effective and efficient timing of parental or public investments aimed at fostering children's skills. We can detect sensitive periods with a novel design by...

Despite substantial investment in skills training worldwide, evidence for the effectiveness of such interventions in sub-Saharan Africa is still relatively sparse. We contribute to this literature by implementing a multisite randomized controlled trial (RCT) of the Professionalization of...

As artificial intelligence (AI) and automation continue to reshape industries, concerns about technological unemployment are intensifying. This study employs a Systematic Literature Review (SLR) guided by the PRISMA framework to examine peer-reviewed literature from the Scopus database...

This paper examines the evolution and determinants of skill-specific internal mobility among Italian citizens by urban-rural origin. Using administrative data from the Registry of Transfer of Residence (ADELE), which records the universe of skill-specific bilateral moves across more than 700...

This paper examines the role of human capital in driving labour productivity growth across industries in the EU and the UK from 2010 to 2021. Building on Egert ' et al. (2022), we introduce a novel quality-adjusted human capital (QAHC) measure that combines both the quantity and quality of...

We provide experimental evidence on how employers adjust expectations to automation risk in high-skill, white-collar work. Using a randomized information intervention among tax advisors in Germany, we show that firms systematically underestimate automatability. Information provision raises risk...

We study the effect of a randomized one-on-one remote phone tutoring program implemented between 2021 and 2023. The intervention reached more than seven thousand students in seven Latin American countries: Argentina, Brazil, El Salvador, Guatemala, Mexico, Paraguay and Peru. The program targeted...

Skill transferability is essential for occupational mobility and adapting to external shocks, yet detailed data on workers’ skills is often scarce and costly to collect, specially in developing countries. This paper explores whether the American O*NET database, one of the most popular...

We provide experimental evidence on how employers adjust expectations to automation risk in high-skill, white-collar work. Using a randomized information intervention among tax advisors in Germany, we show that firms systematically underestimate automatability. Information provision raises risk...

Most studies on the labor market effects of immigration use repeated cross-sectional data to estimate the effects of immigration on regions. This paper shows that such regional effects are composites of effects that address fundamental questions in the immigration debate but remain unidentified...

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...

Context: Unlike education policy for general education, technical and vocational education and training (TVET) policy often focuses on societal needs, ignoring the attitudes and subsequent behaviors of learners. As a result, the impact of TVET policies is not what was expected and sometimes even...

This study examines the current performance and future challenges of EU funding in the areas of employment, skills, and social inclusion-focusing on the ESF+, the EGF, and InvestEU's Social Investment and Skills Window (SISW). Based on desk research, stakeholder interviews, an online survey, and...

This report consolidates insights from the first thematic strand of the Community for Educational Innovation (CEI), 'Entrepreneurial skills and mindsets in education.' Information was collected through webinars, calls for good practices, polls, and interviews with CEI members. It aims to examine...

This report consolidates insights from the first thematic strand of the Community for Educational Innovation (CEI), 'Entrepreneurial skills and mindsets in education.' Information was collected through webinars, calls for good practices, polls, and interviews with CEI members. It aims to examine...

The aim of this ECE Thematic Review and of the present synthesis report is to review the most recent data and expert knowledge on the phenomenon of people of working age outside the labour force, to understand drivers for not being in the labour force, and thus for being neither employed nor...

This paper examines the evolution and determinants of skill-specific internal mobility among Italian citizens by urban-rural origin. Using administrative data from the Registry of Transfer of Residence (ADELE), which records the universe of skill-specific bilateral moves across more than 700...

The presented article concerns managerial competencies in the medical device industry. The research aimed to identify and assess certain managerial competencies and diagnose the gap between the declared and desired competencies of the interviewed managers. We asked the following question: How...

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...