Over the course of the past 20 years, welfare states are said to have evolved towards a ‘social investment’ model of welfare – characterized by a focus on equality of opportunity and upward social mobility along with a greater emphasis on individual responsibility. In view of these policy changes, it is necessary to assess whether traditional stratification cleavages (still) affect the occurrence of ‘social risks’. Using data from the 2005 EU-SILC intergenerational module, we consider the impact of social class (of origin) on a relevant selection of risks: unemployment, ill-health, living in a jobless household, single parenthood and low-paid employment. The results provide clear evidence of a substantial influence of social class. On this basis, we argue that social investment strategies need to take stock of the persistence of traditional stratification cleavages. Otherwise, a one-sided approach may create new forms of exclusion and give way to ‘Matthew effects’.
The objective of this study was to explore how long-term care systems, and in particular the incorporation of needs-based entitlements to care services or benefits, influence formal and informal care utilisation dynamics. We used the Survey of Health, Ageing and Retirement in Europe (SHARE) wave 1 and 2 data, restricting the sample to persons 65? from 9 European countries (N = 6,293). The effects of changes in health and household composition on formal and informal care transitions were estimated using logistic regression, allowing these effects to vary across countries. The results indicated that, in all countries, formal and informal care were more often complements than substitutes. The likelihood of becoming a formal or informal care user varied significantly between countries. In the Scandinavian countries and in several continental European countries with needs-based entitlements, the transition to formal care was strongly related to informal support being or becoming unavailable. We found little evidence of country differences in the effect of health variables on the transition to formal care. The analysis suggested that, whilst rates of formal care utilisation continue to differ considerably between European countries, formal care allocation practices are not very dissimilar across Northern and continental European welfare states, as we found evidence for all countries of targeting of older persons living alone and of the most care-dependent older people.
In Europe, reference budgets are increasingly recognised as a helpful tool for policy making and monitoring. If developed in a cross-country comparable way, reference budgets could, in addition, prove to be useful for cross-national learning and contextualising the EU social indicators. However, current reference budgets are not comparable across countries. In this article we report on the first results of a concerted effort to construct comparable reference budgets for adequate social participation in Antwerp, Athens, Barcelona, Budapest, Helsinki and Milan. We start from a single theoretical and methodological framework and carefully track differences in institutional settings, climate, culture, and the availability and prices of goods and services that justify crosscountry variations in the contents and levels of reference budgets. Results indicate that adequate social participation requires access to different goods and services in the six cities, but that, at the same time, the needs to be fulfilled are rather similar, such that the variation in the level of reference budgets is less than what would be expected on the basis of differences in median household incomes. Results also show that constructing comparable reference budgets requires substantial and intensive coordination. We suggest directions in which our approach to their construction could be improved.
In this paper we focus on explaining to humans the behavior of autonomous agents, i.e., explainable agents. Explainable agents are useful for many reasons including scenario-based training (e.g. disaster training), tutor and pedagogical systems, agent development and debugging, gaming, and interactive storytelling. As the aim is to generate for humans plausible and insightful explanations, user evaluation of different explanations is essential. In this paper we test the hypothesis that different explanation types are needed to explain different types of actions. We present three different, generically applicable, algorithms that automatically generate different types of explanations for actions of BDIbased agents. Quantitative analysis of a user experiment (n=30), in which users rated the usefulness and naturalness of each explanation type for different agent actions, supports our hypothesis. In addition, we present feedback from the users about how they would explain the actions themselves. Finally, we hypothesize guidelines relevant for the development of explainable BDI agents.
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