New configurations of labour insertion processes. The case of secondary technical and vocational education and training students in Chile

This article presents the results of a longitudinal study that followed a sample of 1011 young people who completed their secondary technical and vocational education and training studies in Chile between 2011 and 2016. It adopts a mixed design that combines both quantitative and qualitative methodological strategies to analyse transitions and post-study trajectories. Analysis has helped to identify the prevalence of non-linear and unstructured transitions to the labour market. It has also shown the existence of education-work links and employment alternatives that are generated in certain sectors as well as identified how these give rise to specific opportunity structures that affect on aspirations and career pathways. Results indicate that graduates of the industrial area of study experience more substantive educational integration and labour links following course completion due to greater levels of alignment between their training and the productive demands of the industrial sectors. However, their experiences over the medium term are fragmented and, thus, reflect those of their peers from other areas.     

A positive psychology intervention to foster economic integration of Syrian refugees in the Netherlands

Research shows that the labour market integration of refugees is often problematic. Little is known about what kind of measures are effective to help them integrate into the labour market. In the Netherlands, a positive psychology intervention “Mosaic” for Syrian refugees was developed to support their economic participation. This study aims to assess the effect of “Mosaic” on the economic participation and work-related attitudes of Syrian refugees. “Mosaic” was implemented in six municipalities by conducting an RCT with a waiting list control group. The results show that in the short term, the intervention group realizes a significantly larger increase in hours spent on an internship as well as substantially larger gains in confidence to find work in the future. In the long term, the intervention group experiences larger confidence gains related to finding a job that fits their education and experience.     

An optimal property of the “(r,k ) class estimators”

The purpose of this work is to display optimal conditions, in terms of the Mean Square Error criterion of the (r,k) class estimators. This will be done with respect to the ordinary ridge repression, principal components and ordinary least squares estimate.     

On the Run Length of a State-Space Control Chart for Multivariate Autocorrelated Data

The literature on statistical process control (SPC) describes the negative effects of autocorrelation in terms of the increase in false alarms. This has been treated by the individual modeling of each series or the application of VAR models. In the former case, the analysis of the cross correlation structure between the variables is altered. In the latter, if the cross correlation is not strong, the filtering process may modify the weakest relations. In order to improve these aspects, state-space models have been introduced in multivariate statistical process control (MSPC). This article presents a proposal for building a control chart for innovations, estimating its average run length to highlight its advantages over the VAR approach mentioned above.     

Dependent Lindeberg central limit theorem for the fidis of empirical processes of cluster functionals

Drees H. and Rootzén H. [Limit theorems for empirical processes of cluster functionals (EPCF). Ann Stat. 2010;38(4):2145–2186] have proven central limit theorems (CLTs) for EPCF built from β-mixing processes. However, this family of β-mixing processes is quite restrictive. We expand some of those results, for the finite-dimensional marginal distributions (fidis), to a more general dependent processes family, known as weakly dependent processes in the sense of Doukhan P. and Louhichi S. [A new weak dependence condition and applications to moment inequalities. Stoch. Proc. Appl. 1999;84:313–342]. In this context, the CLT for the fidis of EPCF is sufficient in some applications. For instance, we prove the convergence without mixing conditions of the extremogram estimator, including a small example with simulation of the extremogram of a weakly dependent random process but nonmixing, in order to confirm the efficacy of our result.     

The total bootstrap median: a robust and efficient estimator of location and scale for small samples

We propose the total bootstrap median (TBM) as a robust and efficient estimator of location and scale for small samples. We demonstrate its performance by estimating the mean and variance of a variety of distributions. We also show that, if the underlying distribution is unknown and there is either no contamination or low to moderate contamination, the TBM provides a better estimate of the mean, in mean square terms, than the sample mean or the sample median. In addition, the TBM is a better estimator of the variance of the underlying distribution than the sample variance or the square of the bias-corrected median absolute deviation from the median estimator. We also show that the TBM is an explicit L-estimator, which allows a direct study of its properties.