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In this paper, we have employed data from the OECD's Programme for International Student Assessment (PISA, 2012 edition) on the EU-15 countries in order to investigate the effect of using ICT at home on achievement. By employing Propensity Score Matching, we provide robust evidence that in most countries there is a negative association between using computers intensely for homework and achieving lower test scores across all subjects. Such negative effect affects the achievement of both low- and high-performing students and is robust to a specification that consider unobservable self-sorting of students across schools. Our findings suggest that a more cautious approach should be taken with regards to the wide-spread use of digital innovation as a means to support students' out-of-school work.

The objective of this paper is an efficiency analysis concerning higher education systems in European countries. Data have been extracted from OECD data-sets (Education at a Glance, several years), using a non-parametric technique--data envelopment analysis--to calculate efficiency scores. This paper represents the first attempt to conduct such an efficiency analysis at a system-level in a cross-country comparison, while focusing only on tertiary education. The role of the public sector has also been analysed, by looking at the percentage of public spending devoted to higher education, and the way the public funds are used (channelled through private subsidies or directly assigned to institutions). It has been found that there is a small core of efficient units (e.g. Switzerland, United Kingdom), and that the influence of the public sector seems to play a role in determining efficiency scores. Many elements, related to critical policies, have also been analysed adopting a semi-parametric approach, to better explain the performances and efficiency differentials. Some key-policy implications have been derived. (Contains 12 notes, 11 tables, and 2 figures.)

This paper seeks to analyse the relationship between wages and education at a European level, using a quantile regression in order to be able to extend the study along the whole wage distribution. This analysis is carried out for a sample of 14 European countries (Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, the Netherlands, Portugal, Spain and the United Kingdom), using the European Community Household Panel data-set. The paper aims to investigate whether the relationship between wages and education at European level is homogeneous and stable through time by running regressions for average and current (log)wages. Policy implications are derived. (Contains 7 tables, 2 figures, and 3 notes.)

In higher education systems that are partly tax funded, a country might not be willing to subsidize the education of international students who might leave after graduation. This paper analyzes how student migration affects governmental decisions regarding the private funding share of higher education for 22 OECD countries for the period of 2000-2011. Based on fixed effects estimations, we find a significant positive correlation. This result is robust to changes in the specification, including estimations for country groups and for an expanded lag structure. The use of an instrumental variable approach supports a causal interpretation.