The present study contributes to the existing literature on routinization and employment by capturing within-occupation task changes over the period 1980-2010. The main contributions are the measurement of such changes and the combination of two data sources on occupational task content for the...

Building on the canonical model of skill-biased technical change to incorporate differential effects of technology and international trade on the skill composition of occupations, the paper employs a task-based approach to analyze structural changes in regional employment within a rich...

The catchword 'green skills' has been common parlance in policy circles for a while, yet there is little systematic empirical research to guide public intervention for meeting the demand for skills that will be needed to operate and develop green technology. The present paper proposes a...

While policymakers talk of "green skills", there is little systematic empirical research on the demand for skills that will be needed to operate and develop green technology. We propose a data-driven methodology to identify green skills and to gauge the ways in which the demand for these...

The catchword ‘green skills' has been common parlance in policy circles for a while, yet there is little systematic empirical research to guide public intervention for meeting the demand for skills that will be needed to operate and develop green technology. The present paper proposes a...

The present study adds to the literature on routinization and employment by capturing within-occupation task changes over the period 1980-2010. The main contributions are the measurement of such changes and the combination of two data sources on occupational task content for the United States:...

While policymakers talk of ‘green skills', there is little systematic empirical research on the demand for skills that will be needed to operate and develop green technology. We propose a data-driven methodology to identify green skills and to gauge the ways in which the demand for these...