Big Data Intelligence on Skills Demand and Training in Umbria
The COVID-19 pandemic had a severe impact on the Umbrian economy, and despite recovery of labour demand, the region faces challenges related to digitalisation, tight labour markets, and volatile demand for low-skilled jobs. To address these issues, the OECD and the Umbrian regional agency for active labour market policies (ARPAL) have collaborated to investigate the labour and skills demand of the region using big data techniques applied to online job postings. This report provides new insights into the alignment between labour and skills demand and the training options available in the training and education programmes contained in the Umbrian Regional Training Catalogue. This report builds new indicators to measure the alignment of course content with employer demands in Umbria, with results showing that alignment is relatively good for some occupations but that this can be strengthened to provide job seekers with up-to-date training options that match the demand of the labour market.
Creating a mapping between the indicators of the demand and supply of skills: Using machine learning to bridge between the RTC and online job postings
This report uses a dataset of online job postings (OJPs) with monthly information between January of 2018 to June of 2022 to analyse Umbria’s labour market trends. The data is collected, transformed and harmonised by Lightcast (formerly Emsi-Burning Glass Technologies). The data is composed of 6.8 million individual level job postings for Italy and 72 434 for Umbria. There are up to 70 different variables ranging from skill keywords contained in each job posting, qualifications and experience required to fill the job and its geographical location, as well as the type of contract (permanent, temporary) and, when available, the salary offered for the specific role advertised. The OECD further transformed the data to create yearly aggregates, cross tabulations and other statistics presented in the document. Furthermore, the raw text of the OJPs is used for analysis, which is explained in this Annex. Lightcast offers the unique possibility to investigate the text contained in each online job posting, which reveals an amount of information that cannot be matched by any other source.
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