Report edited by S. Duranti, F. Giubileo, V. Patacchini
The study is part of the joint IRPET-Tuscany Region activities for 2024, commissioned by the ESF Management Authority (Activity No. 2.B/2024). The research was conducted by Silvia Duranti, Francesco Giubileo, and Valentina Patacchini, coordinated by Patrizia Lattarulo, head of the Public Economy Research Area at IRPET. Editing by Elena Zangheri.
The research aims to monitor the training activities for labour market insertion and reintegration financed by the Region of Tuscany in the two-year period 2023-24. In particular, the contribution focuses on the characteristics of the training activities (duration, training content) and of the trainees (age, gender, citizenship, etc.), with a particular focus on course completion rates and employment outcomes.
One of the critical issues encountered in the implementation of training programmes concerns the difficulty of including the unemployed in the courses and facilitating their completion, particularly in the case of longer-term activities. The results show that the average completion rate of training activities is 83% and that certain factors influence its variability. Using a multilevel logistic regression model, which takes into account the fact that enrollees are aggregated within training units and thus share some of their characteristics, it is possible to highlight the role of individual and course factors in determining the probability of completion of training activities. The results show that individual factors play a marginal role, with the exception of age, which, if older, favours course completion. On the other hand, it is the type of course and the duration in terms of hours that influence the probability of completion. The analysis also shows that 11% of the variability in the probability of course completion depends on the training provider running the course, thus also highlighting the role of the providers.
The monitoring of job placement and reintegration courses is complemented by an analysis of the employment outcomes of the unemployed who attend them. The analysis of the 6-month insertion rates, reveals a certain heterogeneity between sectors, with some courses having better outcomes than the average (39%), for example Fashion (41%), Construction (43%) and Mechanics (47%).
