This work documents the shares of non-automatable and automatable jobs in 24 European countries over the last three decades. Knowledge of this distribution is important as it reveals the countries, and the demographics within these countries whose employment is the most vulnerable to disappearing because of automation, as well countries who have tended towards substituting labour with automation at a faster rate over the last two decades. The same distribution also reveals the jobs that are likely to stay with us in the future, to the extent that they are non-automatable.
Informal care forms a cornerstone of all long-term care (LTC) systems in Europe and is often seen as a cost-effective way of preventing institutionalisation and enabling users to remain at home. Most recent LTC reform packages have included important components focused on informal carers. The purpose of this study is to explore the range and meaning of policies which ‘formalise’ the role and status of informal carers in a subset of European countries. These schemes, either directed at carers specifically or indirectly through user policies, ‘formalise’ the caregiving role and, to varying extents, treats carers as recognized care providers. The study also attempts to shed light on the relevance of this policy trend for quality of informal care.
This study analyses EU-28 and euro area-level income distribution. More specifically it shows the development of inequality in net disposable incomes over the pre- and post-crisis period (2006‒2014). The analysis shows that income inequality in the EU as a whole was falling up until the crisis and then stabilised afterwards. In the euro area it has increased slightly over the same period.
This report identifies shortage and surplus occupations in the EU, Norway, Iceland and Switzerland. It explores the causes of shortages and proposes potential solutions. Some of the jobs in short supply in 2017 include cooks, plumbers, generalist medical practitioners and systems analysts, while there is less demand for general office clerks; shop sales assistants and advertising and marketing professionals. Ultimately, this analysis aims at creating a model which can accurately and comprehensively identify imbalances and cross-border matching possibilities.
Previous reports on the topic:
The inactive population is not a traditional target group for the Public Employment Services (PES), although a significant share of it wants to work and is potentially available for work. The study surveys existing policy regimes and outreach measures for three target groups among the inactive that are central to current policy discussions on increasing labour force participation and social inclusion: 1) Inactive older workers; 2) Working-age women not in the labour force; and 3) Ethnic minorities and migrants. It also depicts in more detail six case studies from Austria, Germany, The Netherlands, Poland, Portugal and Sweden.