Unveiling the Complexity of Italian NEET Status through Latent Class Analysis: Examining NEET Profiles and their Engagement with Public Employment Services (PES)

Adriano Mauro Ellena (), Antonella Rocca, Paolo Mazzocchi, Michela Zambelli, Daniela Marzana, Federica Pizzolante, Francisco Simões, Giovanni Luca and Elena Marta
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Adriano Mauro Ellena: Università Cattolica del Sacro Cuore
Antonella Rocca: Università degli Studi di Napoli Parthenope
Paolo Mazzocchi: Università degli Studi di Napoli Parthenope
Michela Zambelli: Università Cattolica del Sacro Cuore
Daniela Marzana: Università Cattolica del Sacro Cuore
Federica Pizzolante: Università degli Studi di Napoli Parthenope
Francisco Simões: Cis-Iscte
Giovanni Luca: Università degli Studi di Napoli Parthenope
Elena Marta: Università Cattolica del Sacro Cuore

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2025, vol. 179, issue 3, No 21, 1665-1686

Abstract: Abstract This study delves into the complex issue of NEET (Not in Employment, Education, or Training) status in Italy, using Latent Class Analysis (LCA) to identify distinct profiles within this heterogeneous group. The research, based on a survey of 970 young Italian NEETs, goes beyond broad categorizations to explore the socio-demographic, economic, and motivational factors that contribute to their situations. Six distinct classes of NEETs were identified, each with unique characteristics, including “Affluent Rural Caregivers in Northern Italy,” “Young Educated Unemployed,” “Long-Term NEETs in Southern Italy,” “Disadvantaged Caregivers in Southern Italy,” “Disadvantaged Rural Men in Northern Italy,” and “Affluent Discouraged NEETs”. The study investigates the relationship of these profiles with Public Employment Services (PES), revealing different motivations for seeking assistance and varied willingness to accept employment conditions such as relocation or temporary work. Significant associations were found between NEET class and the motivation for economic support, willingness to move abroad or within Italy, and acceptance of part-time or temporary work. The findings emphasize the need for tailored interventions that address the specific needs and barriers of each NEET subgroup, rather than a one-size-fits-all approach. The research highlights the complex interplay of geographic, economic, educational, and gender factors in shaping NEET status in Italy.

Keywords: NEET (Not in education; employment either training); Public employment services; Policies; Latent class analysis (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11205-025-03684-w

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