14 resultados para Opportunity costs

em Archive of European Integration


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There is general consensus that to achieve employment growth, especially for vulnerable groups, it is not sufficient to simply kick-start economic growth: skills among both the high- and low-skilled population need to be improved. In particular, we argue that if the lack of graduates in science, technology, engineering and mathematics (STEM) is a true problem, it needs to be tackled via incentives and not simply via public campaigns: students are not enrolling in ‘hard-science’ subjects because the opportunity cost is very high. As far as the low-skilled population is concerned, we encourage EU and national policy-makers to invest in a more comprehensive view of this phenomenon. The ‘low-skilled’ label can hide a number of different scenarios: labour market detachment, migration, and obsolete skills that are the result of macroeconomic structural changes. For this reason lifelong learning is necessary to keep up with new technology and to shield workers from the risk of skills obsolescence and detachment from the labour market.

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We investigate the changes in women’s employment patterns across EU countries over the last 20 years both in terms of labour market participation and type of jobs using individual data from ECHP and EUSILC databases. Using a logistic multilevel model, we then pin down the role played by institutional and policy changes in explaining women’s employment. The key results indicate that women’s employment trends are related to the institutional and policy changes that have been introduced in almost all European countries since the end of the 1990s. Such changes had an important impact on the labour market opportunities’ of women by affecting the quality of potential jobs available, the chances to (re-)enter the labour market and the opportunity costs of employment (vs. non-employment).

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With the huge growth in enrolment in higher education, the key question facing young people today is not so much “what to study” as “whether to study”. Taking a methodologically innovative approach, this paper measures the net present value of university education and compares returns from studying a range of different subjects. We use data from 5 European countries (France, Italy, Hungary, Poland and Slovenia) and include (opportunity) costs in the computation. Results suggest that enrolling in science, technology, engineering and mathematics (STEM) courses is often not the best investment for students, especially female students. In choosing what to study, therefore, students are taking decisions that are consistent with their own private returns. This suggests that policymakers should consider changing the incentives offered if they wish to change students’ behaviour.