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The purpose of this paper is to evaluate a recent training programme for graduates, implemented in Italy and entitled Work Experience Laureati and Laureate, i.e. Work Experience for Graduates. The aim of the programme was to increase the career prospects of unemployed graduates in the region of Umbria.

The authors rely on administrative data and matching methods to evaluate the effectiveness of the intervention in terms of employability of participants.

The results show that participants are more likely to be employed and to sign an apprenticeship contract within the region boundaries. The authors also find substantial differences in employability and type of contract by gender, with men having a higher probability of finding a job (permanent contract and apprenticeship). The authors show that this may be explained by the different choices in terms of field of study, with males being more prone to enrol in scientific areas and females in the humanities.

It is an intervention implemented in one Italian region.

This is one of the few studies that analyses the effectiveness of active labour market policies targeting unemployed graduates, especially in the Italian context. The authors rely on different administrative data sources that allow them to evaluate the effectiveness of the programme.

The Covid-19 pandemic appears to have engendered heterogeneous effects on individuals’ labour market prospects. This paper focuses on two possible sources of a heterogeneous exposition to labour market risks associated with the pandemic outbreak: the routine task content of the job and the teleworkability. To evaluate whether these dimensions played a crucial role in amplifying employment and wage gaps among workers, we focus on the case of Italy, the first EU country hit by Covid-19.

Investigating the actual effect of the pandemic on workers employed in jobs with a different degree of teleworkability and routinization, using real microdata, is currently unfeasible. This is because longitudinal datasets collecting annual earnings and the detailed information about occupations needed to capture a job’s routine task content and teleworkability are not presently available. To simulate changes in the wage distribution for the year 2020, we have employed a static microsimulation model. This model is built on data from the Statistics on Income and Living Conditions (IT-SILC) survey, which has been enriched with administrative data and aligned with monthly observed labour market dynamics by industries and regions.

We measure the degree of job teleworkability and routinization with the teleworkability index (TWA) built by Sostero et al. (2020) and the routine-task-intensity index (RTI) developed by Cirillo et al. (2021), respectively. We find that RTI and TWA are negatively and positively associated with wages, respectively, and they are correlated with higher (respectively lower) risks of a large labour income drop due to the pandemic. Our evidence suggests that labour market risks related to the pandemic – and the associated new types of earnings inequality that may derive – are shaped by various factors (including TWA and RTI) instead of by a single dimension. However, differences in income drop risks for workers in jobs with varying degrees of teleworkability and routinization largely reduce when income support measures are considered, thus suggesting that the redistributive effect of the emergency measures implemented by the Italian government was rather effective.

No studies have so far investigated the effect of the pandemic on workers employed in jobs with a different degree of routinization and teleworkability in Italy. We thus investigate whether income drop risks in Italy in 2020 – before and after income support measures – differed among workers whose jobs are characterized by a different degree of RTI and TWA.

This chapter analyses a range of media outputs produced to raise awareness of the campaign of forced sterilisation conducted in Peru during the period 1993–1998. Focusing in detail on the Quipu Project the authors investigate the ways in which different media configure differently witness subjects, audiences and listeners. The chapter also analyses the effectiveness of these media outputs within the contexts of human rights discourses.

The chapter is framed by narrative theories of documentary video production, new media technology and intermediality. The authors also draw on theories of witnessing that have emerged in critical studies of witness testimony in video and new media. It uses secondary data, that is, the testimonies of women already collected, selected and, in most cases, edited by documentary makers and campaigners.

The case studies compare the ways in which conventional video documentary and techniques of digital storytelling transform the content of women’s testimony.

Funding limitations have meant that progress on the site was, at the time of writing, temporarily suspended. We therefore analysed the pilot, or prototype, of the Quipu Project, which should be viewed as a work in progress. However, a more developed site for the Quipu Project went live after the chapter was completed.

This chapter represents the first attempt to analyse the effectiveness of an experimental project such as the Quipu Project. The authors were given access by the curators of the project to the site at various stages of its construction. The chapter provides insights into the potential of digital technology to create opportunities for media outputs to internationalise interventions into campaigns for justice and reparation.

The purpose of this paper is to provide an evaluation of traineeships as an active labour policy for young people in Italy. The role of traineeships as a formative experience for improving youth employment is stated by law and the specific evaluation of the regional Quality Traineeships Programme allowed for a more in-depth analysis of the role quality criteria plays in traineeship implementation.

Such evaluation relies on administrative data, while a counterfactual approach was used to compare trainees to unemployed young people registered with Public Employment Services. The impact of traineeships on youth careers was measured in terms of employment probability, but innovatively, the actual placement was measured in terms of both hiring and along a “quality” metric with respect to entry in the labour market. It is reasonable to assume that young people are interested in traineeships as an investment towards a more satisfying career (not just as a gateway to recruitment). At last, the authors introduce a persistency analysis of the effects on youth employment rates.

The results show that traineeships hinder rapid transition to work, but they are effective stepping-stones for young people seeking a quality career. A benefit of 7 percentage points was estimated on the probability of finding a quality job after completing the traineeship and a long-lasting effect on trainees’ employment rate is demonstrated by the persistency analysis. These benefits are strengthened for participants in the Quality Traineeships Programme, confirming the relevance of desirable learning and contractual conditions in supporting the effectiveness of internships in Italy.

As far as the authors know, this paper is the first study that specifically refers to traineeships as an active policy in Italy and the questions resulting from the research suggest new trends in the debate over the role of policies for supporting youth employment. The administrative archives used in the analysis and the persistence effects on youth employment rates are further innovations to the empirical literature on the effectiveness of Italy’s training programmes.

This paper aims to offer a long-term systematic picture of the evolution of manufacturing offshoring (in terms of intensity, geography and drivers) highlighting the changes in the surrounding context and the resulting transitions points (“points in time”) that have shaped its development path.

Three statistical tools were adopted on a dataset of 644 cases. First, the authors resorted to multiple structural change tests to identify the transition points. Second, the authors explored offshoring geography by conducting a network analysis. Finally, the authors adopted gravity models to shed light on offshoring drivers.

Results highlight three offshoring phases: expansion (2002–2006), reconsideration (2007–2009) and rationalization (2010 onwards). During the first phase, characterized by economic growth, firms were mainly interested in economic savings; offshoring to low-cost countries was the prevailing location strategy. Subsequently, during the economic crisis, the number of cases declined and the main drivers became market-based factors together with the research for cost savings. Finally, in the third phase, when the economy was still stagnating and new manufacturing technologies appeared, the number of offshoring cases has further decreased, and technological- and market-based factors have become the main location drivers.

The study is the first to adopt a systematic, empirical and quantitative approach to analyze the evolution of the manufacturing offshoring considering both the phenomenon itself and the triggering changes in the surrounding context. In doing this, the authors also tested the importance of considering the point in time in offshoring strategies.

There is a long period from completing studies to finding a permanent or temporary (but at least satisfactory) job in all European countries, especially in Mediterranean countries, including Italy. This paper aims to study the determinants of this duration and measure them, for the first time in a systematic way, in the case of Italy.

This paper provides several measures of duration, including education level and other criteria. Furthermore, it attempts to identify the main determinants of the long Italian transition, both at a macroeconomic and an individual level. It tests for omitted heterogeneity of those who are stuck at this important crossroads in their life within the context of parametric survival models.

The average duration of the school-to-work transition for young people aged 18–34 years was 2.88 years (or 34.56 months) in 2017. A shorter duration was found for the highly educated; they found a job on average 46 months earlier than those with compulsory education. At a macroeconomic level, the duration over the years 2004–2017 was inversely related to spending in the labour market policy and in education, gross domestic product growth and the degree of trade union density; however, it was directly related to the proportion of temporary contracts. At the individual level, being a woman, a migrant or living in a densely populated area in the South are the risk factors for remaining stuck in the transition. After correcting for omitted heterogeneity, there is clear evidence of positive duration dependence.

Positive duration dependence suggests that focusing on education and labour policy, rather than labour flexibility, is the best way to smooth the transition.

This study develops our understanding of the Italian school-to-work transition regime by providing new and detailed evidence of its duration and by studying its determinants.