In recent years the number of NEETs has been rising alarmingly and profiling the most fragile individuals among youths can prompt more effective policies. We analyse the trajectories of European NEETs in the decade after the financial crisis, linking the trajectories to pre- crisis structural features of the countries. Using the EU-SILC to identify patterns in the NEET condition, we estimate a multilevel model to assess the impact of macro-variables on them. The main results show the effect of family support policies, training, labour market flexibilization and economic growth in decreasing the probability of being NEET for a long period of time.

An analysis of NEET youths in EU in a longitudinal perspective

Marianna Filandri;Lia Pacelli;Francesco Trentini
2023-01-01

Abstract

In recent years the number of NEETs has been rising alarmingly and profiling the most fragile individuals among youths can prompt more effective policies. We analyse the trajectories of European NEETs in the decade after the financial crisis, linking the trajectories to pre- crisis structural features of the countries. Using the EU-SILC to identify patterns in the NEET condition, we estimate a multilevel model to assess the impact of macro-variables on them. The main results show the effect of family support policies, training, labour market flexibilization and economic growth in decreasing the probability of being NEET for a long period of time.
2023
XIII n. 1
68
87
https://oa.inapp.org/xmlui/handle/20.500.12916/3930
Marianna Filandri; Lia Pacelli; Francesco Trentini
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1905133
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