EconPapers    
Economics at your fingertips  
 

Online job ads in Italy: a regional analysis of ICT professionals

Adham Kahlawi (), Lucia Buzzigoli (), Francesca Giambona (), Laura Grassini () and Cristina Martelli ()
Additional contact information
Adham Kahlawi: Università di Firenze
Lucia Buzzigoli: Università di Firenze
Francesca Giambona: Università di Firenze
Laura Grassini: Università di Firenze
Cristina Martelli: Università di Firenze

Statistical Methods & Applications, 2024, vol. 33, issue 2, No 9, 609-633

Abstract: Abstract In European countries, there is a growing interest in integrating traditional statistical sources on the labour market with online job ads. They offer detailed and timely information on the use of the Internet for recruiting and the specific skills required at different levels (particularly at a territorial and sectoral level). In this context, this paper proposes an analysis of the similarity between the Italian regions regarding required skills by employers. The study looks at a specific group of innovation-related occupations, ICT professionals, that are believed to be sufficiently represented by online data. The results highlight a regional gap in the use of online offers and differences in professional profiles regarding required skills. Finally, regional skill similarities are compared with some regional features related to the labour market and training.

Keywords: Labour market; Online job ads data; Occupations; Skills; ESCO (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10260-023-00735-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:stmapp:v:33:y:2024:i:2:d:10.1007_s10260-023-00735-9

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10260/PS2

DOI: 10.1007/s10260-023-00735-9

Access Statistics for this article

Statistical Methods & Applications is currently edited by Tommaso Proietti

More articles in Statistical Methods & Applications from Springer, Società Italiana di Statistica
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-12
Handle: RePEc:spr:stmapp:v:33:y:2024:i:2:d:10.1007_s10260-023-00735-9