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Articles

The impact of training-intensive labour market policies on labour and educational prospects of NEETs: evidence from Catalonia (Spain)

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Pages 151-167 | Received 28 Jul 2014, Accepted 30 Dec 2014, Published online: 16 Apr 2015
 

Abstract

Background: The literature has shown that the way active labour market policies (ALMP) aimed at youth are designed and implemented can influence the labour and educational prospects of youngsters. The evaluation of the Catalan PQPIs (initial vocational qualification programmes) presented here seeks to provide new evidence on the effectiveness of ALMPs for a social, economic and geographical context – the south of Europe – in which such evaluations are scarce but particularly necessary, given current unemployment conditions.

Purpose: This evaluation focuses on the impact of the PQPIs on participants’ labour and education outcomes during the period 2009–2013. Research questions are: Does participation in the PQPIs increase the probability of finding a job? What is the impact of the PQPIs on the probability of returning to formal education? Does the impact of the PQPIs vary according to characteristics of the participants, such as age and gender?

Programme description: First launched in 2006, PQPIs target 16–25-year-olds who are unemployed and who left education without earning the certificate of compulsory secondary education (GESO). PQPIs have two objectives: (a) to increase the labour prospects of participants, and (b) to facilitate their re-engagement into formal education, either by completing the GESO or by enrolling in middle vocational courses (CFGM). PQPIs take one academic year to complete and they include vocational training, work internships and preparation for returning to formal education.

Sample: Our evaluation focuses on the two main types of PQPI, the PQPI-FIAP and the PQPI-SBS. Our sample consists of all students who started any of these courses during the 2008–2009 academic year – 2401 participants in the PQPI-SBS and 1220 in the PQPI-FIAP. Both sets of students were observed from the beginning of their courses until April 2013.

Design and methods: Using propensity score matching, we estimate the intention-to-treat and treatment-on-the-treated impact of PQPIs on participants’ labour and educational outcomes. For labour outcomes, we focus on the monthly labour force participation from the moment that the programmes started (October 2008) until April 2013. For educational outcomes, we analyse the accumulated percentages of GESO and CFGM enrolments and graduations from the time the programmes finished (June 2009) until September 2012.

Results: Results show that both the PQPI-FIAP and the PQPI-SBS are ineffective in increasing the labour prospects of participants. In contrast, both the PQPI-FIAP and the PQPI-SBS are significantly effective in re-engaging youths in formal education, although such gains are not translated into a higher level of attainment in post-compulsory education. The positive educational impact identified is concentrated among 16–18-year-olds, while the effects are null or even negative for all other age ranges.

Conclusions: First, the study demonstrates the shortcomings of ALMPs and school-to-work transition programmes in increasing the labour participation of their participants. Second, despite these shortcomings, PQPIs do function as a mechanism for re-engaging early school leavers back into formal education. Third, the educational effectiveness of programmes such as the PQPIs question the capacity of comprehensive schooling to prevent early school leaving, especially when comprehensiveness is implemented without any margin of flexibility.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

This article elaborates on a first-phase PQPI evaluation carried out by the authors in 2011–2012 and co-financed by the Ministry for Business and Labour of the Government of Catalonia and the Catalan Institute for the Evaluation of Public Policies (Ivàlua).

1. Moreover, being in the NEET category is often associated with other personal problems: those of a psychological nature, such as anxiety, depression, lack of self-esteem and insecurity (Creed and Reynolds Citation2001); risky behaviour, such as criminal practices or alcohol and drug consumption (Fergusson, Horwood, and Woodward Citation2001); and those relating to public and social disaffection and political and social participation (Eurofound Citation2012). The presence of these personal problems is simultaneously a product of the NEET condition and a cause of its persistence.

2. Lock-in effect’ means that participants in work programmes see their possibilities of finding work reduced, not only during the time that they spend in the programme, but also in the short term, after they leave the programme. The latter may be a consequence of either the inertia resulting from the interruption in the job search caused by participation in the programme or of the fact that participants are more selective about the type of work that they are willing to accept.

3. Some authors highlight the dangers of the substitution effects that this second method of subsidising can generate (Crepon et al. Citation2013). In other words, there is a risk that private companies will take advantage of subsidised contracting, displacing ordinary (non-subsidised) contracting prospects.

4. Unfortunately, the databases used do not contain relevant variables, such as household structure (number of minors, age of youngest child, single parent, etc.), parental education, complete unemployment history (number and duration of the previous periods of unemployment), work history prior to 2005 and the expiry date of the unemployment benefit.

5. More details on the operation of the kernel algorithm, as well as the results from the Becker and Caliendo tests, are available upon request.

6. Detailed results on the programmes’ differential effects by gender and age are available upon request.

7. As previously mentioned, the results have not been disaggregated according to the gender of the participants as 95% of the young people who participated in a PQPI-FIAP were male. Moreover, the age limit for PQPI-FIAP participation is set at 21, which eliminates the possibility of including a group of over 22 year-olds.

Additional information

Funding

This work was supported by the Servei d’Ocupació de Catalunya [Catalan Employment Service, Catalan Government] (contract 20 December 2011).

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