The demographic transition -the move from a high fertility/high mortality regime into a low fertility/low mortality regime- is one of the most fundamental transformations that countries undertake. To study demographic transitions across time and space, we compile a data set of birth and death...

We assess whether online data on vacancies and applications to a job board are a suitable source for studying skills dynamics outside of Europe and the United States, where a rich literature has examined skills dynamics using online vacancy data. Yet, the knowledge on skills dynamics is scarce...

An important gap in most empirical studies of establishment-level productivity is the limited information about workers' characteristics and their tasks. Skill-adjusted labor input measures have been shown to be important for aggregate productivity measurement. Moreover, the theoretical...

This report analyses the demand for positions that require skills needed to develop or work with AI systems across 14 OECD countries between 2019 and 2022. It finds that, despite rapid growth in the demand for AI skills, AI-related online vacancies comprised less than 1% of all job postings and...

Age heaping-based numeracy indicators have served as valuable tools to derive basic human capital estimates, especially for periods where other indicators are unavailable. However, the accuracy of individual age statements usually remains unknown, and due to the lack of precise information it...

The Cross-Border Cooperation component of the European Territorial Cooperation Objective, realized through operational programs that aim the internal borders of the European Union, encourage the entrepreneurship and supports the developing of collaboration, capacity and joint use of...

Job mobility, especially early in a career, is an important source of wage growth. This effect is typically attributed to heterogeneity in the quality of employee-employer matches, with individuals learning of their abilities and discovering the tasks at which they are most productive through...

This report presents a methodology to classify skill requirements in online job postings into a pre-existing expert-driven taxonomy of broader skill categories. The proposed approach uses a semi-supervised Machine Learning algorithm and relies on the actual meaning and definition of the skills....

Human decision-making differs due to variation in both incentives and available information. This generates substantial challenges for the evaluation of whether and how machine learning predictions can improve decision outcomes. We propose a framework that incorporates machine learning on...

We study the role of occupational tasks as drivers of West German wage inequality. We match administrative wage data with longitudinal task data, which allows us to account for within-occupation changes in task content over time. We run RIF regression-based decompositions to quantify the...