AI meets labor market: Exploring the link between automation and skillsEmilio Colombo, Fabio Mercorio and Mario Mezzanzanica Information Economics and Policy, 2019, vol. 47, issue C, 27-37 Abstract: This paper develops a set of innovative tools for labor market intelligence by applying machine learning techniques to web vacancies on the Italian labor market. Our approach allows to calculate, for each occupation, the different types of skills required by the market alongside a set of relevant variables such as region, sector, education and level of experience. We construct a taxonomy for skills and map it into the recently developed ESCO classification system. We subsequently develop measures of the relevance of soft and hard skills and we analyze their detailed composition. We apply the dataset constructed to the debate on computerization of work. We show that soft and digital skills are related to the probability of automation of a given occupation and we shed some light on the complementarity/substitutability of hard and soft skills. Keywords: Machinelearning; Web vacancies; Skill analysis; Automation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:iepoli:v:47:y:2019:i:c:p:27-37 DOI: 10.1016/j.infoecopol.2019.05.003 Access Statistics for this article Information Economics and Policy is currently edited by D. Waterman More articles in Information Economics and Policy from Elsevier |
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