In European countries, there is growing interest in designing and implementing evidence-based decision-making tools to analyse Internet labour market data. The analysis of labour market online data could provide useful information, as big data - jointly with official statistics - could help answer the question namely “How to tackle the mismatch between jobs and skills?”. In this regard, the topic of skills gap, how to measure it, and how to bridge it with education and continuous training have been tackled by using the big data collection, as in the Cedefop (European Center for the Development of Vocational Training) initiative (Cedefop, 2018). This contribution focuses on the issues arising from the use (and the usefulness) of online job vacancies (OJVs) to analyse the most recent Italian data. Data available for the years 2019 and 2020 are analysed to evaluate whether there has been any change in terms of required skills in occupations after the COVID19 pandemic. We use the index proposed by Deming and Noray (2020) that accounts for the change in skills for each occupation (here considered) between 2019 and 2020. Furthermore, some regional information is provided due to the particular importance that the territory has in the Italian labour market.

Big data analysis and labour market: an analysis of Italian online job vacancies data / Francesca Giambona, Adham Kahlawi, Lucia Buzzigoli, Laura Grassini, Cristina Martelli. - ELETTRONICO. - (2021), pp. 1-4. (Intervento presentato al convegno ASA 2021 Statistics and Information Systems for Policy Evaluation tenutosi a Firenze) [10.36253/978-88-5518-461-8].

Big data analysis and labour market: an analysis of Italian online job vacancies data

Francesca Giambona;Adham Kahlawi;Lucia Buzzigoli;Laura Grassini;Cristina Martelli
2021

Abstract

In European countries, there is growing interest in designing and implementing evidence-based decision-making tools to analyse Internet labour market data. The analysis of labour market online data could provide useful information, as big data - jointly with official statistics - could help answer the question namely “How to tackle the mismatch between jobs and skills?”. In this regard, the topic of skills gap, how to measure it, and how to bridge it with education and continuous training have been tackled by using the big data collection, as in the Cedefop (European Center for the Development of Vocational Training) initiative (Cedefop, 2018). This contribution focuses on the issues arising from the use (and the usefulness) of online job vacancies (OJVs) to analyse the most recent Italian data. Data available for the years 2019 and 2020 are analysed to evaluate whether there has been any change in terms of required skills in occupations after the COVID19 pandemic. We use the index proposed by Deming and Noray (2020) that accounts for the change in skills for each occupation (here considered) between 2019 and 2020. Furthermore, some regional information is provided due to the particular importance that the territory has in the Italian labour market.
2021
ASA 2021 Statistics and Information Systems for Policy Evaluation. Book of Short Papers
ASA 2021 Statistics and Information Systems for Policy Evaluation
Firenze
Goal 8: Decent work and economic growth
Francesca Giambona, Adham Kahlawi, Lucia Buzzigoli, Laura Grassini, Cristina Martelli
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1252008
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