CoverMonitoring social inclusion in Europe — 2017 edition

Edited by Anthony B. Atkinson, Anne-Catherine Guio and Eric Marlier

The EU has not made any progress towards achieving its ‘Europe 2020’ social inclusion target, adopted in 2010, of lifting at least 20 million people from poverty and social exclusion by 2020. This book aims to contribute to our understanding of some of the substantive challenges facing ‘Social Europe’ and to the development of methods that can bring about new insights into issues related to income, deprivation and work. The data on individuals and their households contained in the ‘EU Statistics on Income and Living Conditions’ (EU-SILC) are used to contrast the experience of European countries, drawing out lessons of potential value to all. The strengths and weaknesses of cross-sectional and longitudinal EU-SILC data are also examined, and recommendations for their further improvement are made – in relation to both data production and data analysis. Therefore, this volume is intended not only for policy-makers and statisticians but also for all those concerned about the impact of economic, employment and social policies on people’s lives and about the ways in which the social dimension of Europe – including the monitoring of the EU social inclusion target — could be strengthened. [+]

CoverFinal report of the expert group on quality of life indicators

This publication presents the final report of the Expert Group on Quality of life indicators, endorsed by the Directors of Social Statistics in October 2016. A comprehensive framework of quality of life indicators is encompassing nine dimensions: material living conditions, productive or other main activity, health, education, leisure and social interactions, economic security and physical safety, governance and basic rights, natural and living environment and overall experience of life. 17 indicators coming from all these dimensions were chosen as headline indicators. The report includes also recommendations of the Expert Group on the future work in this area of statistics. The report provides as well information about the initiatives on quality of life indicators existing at national and international level. [+]

CoverStatistical matching of European Union statistics on income and living conditions (EU-SILC) and the household budget survey

The Europe 2020 social inclusion target is measured through work attachment, income and material deprivation indicators using the EU Statistics on Income and Living Conditions (EU-SILC). There has been increasing interest in recent years in whether expenditure and consumption provide more appropriate measures of standards of living than income. So, this working paper compares people’s exposure to poverty using three different measures: income, expenditure and material deprivation. However, no single data source provides joint information on all these variables. Therefore, the working paper describes methodological work conducted to statistically match expenditure from the Household Budget Survey with income and material deprivation contained within EU-SILC using data for six EU countries. The three matching approaches used are parametric, non-parametric and mixed. Overall, the mixed methods approach tends to perform slightly better at matching expenditure, based on a variety of measures. The implications of this work for the ongoing review of the EU-SILC legal basis are discussed. [+]

CoverHow does attrition affect estimates of persistent poverty rates? The case of European Union statistics on income and living conditions (EU-SILC)

Among the primary EU indicators of social inclusion is the persistent at risk of poverty rate, defined as the proportion of persons in a country who are at risk of income poverty in the current year and who were at risk of income poverty in at least two of the preceding three years. Evidence about poverty persistence is an important complement to information about poverty prevalence at a point in time. Estimates of persistent at risk of poverty rates are derived from the longitudinal component of EU SILC in which the fortunes of individuals are tracked over four consecutive years, in principle. In practice, not all of the individuals present in the first sample year provide four years of income data: there is attrition and estimates of persistent at risk of poverty measure may therefore not be reliable. Rates of attrition from the four-year EU-SILC samples used to calculate persistent poverty rates vary substantially across Member States, and there is also substantial cross-national diversity in the characteristics of individuals lost to follow-up. This working paper documents such patterns in detail and provides evidence that application of longitudinal weights does not fully account for the effects of attrition, and that different assumptions about the poverty status of attritors lead to wide bounds for estimates of persistent poverty rates for most Member States. [+]

CoverHigh income and affluence: Evidence from the European Union statistics on income and living conditions (EU-SILC)

This working paper examines the top tail of the income distributions in the 2012 EU-SILC data. First, it discusses issues related to data quality, including under-estimation of top incomes. Then, the data are used as they are to compute several income-based measures of affluence. Finally, the link between non-income information and high incomes is analysed. The working paper shows that EU-SILC is a useful complementary source on high incomes, in particular when the aim is to measure the size of the economically very well-off group. It also shows that identifying the affluent only on the basis of relative incomes is not sufficient. In a number of countries, many households in the upper tail of the income distribution report having difficulties in making ends meet. [+]

CoverKey Figures on Europe — 2016 edition

Key figures on Europe presents a selection of topical data. Most data cover the European Union and its Member States, while some indicators are provided for other countries, such as members of EFTA, enlargement countries to the European Union. This publication may be viewed as an introduction to European statistics and provides a starting point for those who wish to explore the wide range of data that is freely on Eurostat’s website. [+]

CoverEuropean system of integrated social protection statistics — ESSPROS

The European System of integrated Social PROtection Statistics(ESSPROS) was developed in the late 70s by Eurostat jointly with representative of the Member States of the European Union in response to the need for a specific instrument of statistical observation of social protection in the EU Member States. The new ESSPROS Manual and user guidelines is the updated guide for compiling and using ESSPROS data. It includes amendments and clarifications on the following topics: Payable tax credits, collective services, means-testing, withheld taxes and social contributions. [+]

CoverAnalytic report on subjective well-being

The analysis attempts to explain variations in subjective well-being using a range of variables included in Eurostat's Quality of Life framework and employing multivariate regression analysis as method. Three analytical models are used. The first one contains only socio-demographic variables (sex, age, citizenship, etc.), while in the second one objective variables (e.g.: income, health status) included in each dimension of the Quality of life framework are added, in order to test their impact. In the third model the effect of additional variables measuring subjective evaluations or perceptions (e.g. mental well-being, trust) is tested. The impact of different types of potential well-being drivers is therefore evaluated and described, while controlling for the effect of the others The second part of the paper presents results of applying the models on different population subgroups (such as gender or particular age groups). A third section of the paper discusses the influences of country level variables (e.g.: inequality, level of economic development) on life satisfaction. The final part presents country patterns of the most influential drivers that have been identified according to the models applied in the previous sections. [+]

Moving Beyond GDP: New Regional Social Progress Index

The draft version of the regional Social Progress Index, released today for public comment, aims to measure the social progress for 272 European regions as a complement to traditional measures of economic progress. The index scores absolute performance on a 0-100 scale for each of the 50 indicators included to measure the Index components. It also presents strengths and weaknesses relative to regions of similar economic performance.

All twelve thematic components in the index show significant variations within and between EU Member States on topics including, among others, access to health care, quality and affordability of housing, personal safety, access to higher education, and environmental pollution. 

The index is the result of cooperation among the Directorate-General for Regional and Urban Policy of the European Commission, the Social Progress Imperative and Orkestra-Basque Institute of Competitiveness. It follows the overall framework of the global Social Progress Index, customised for the EU using indicators primarily drawn from Eurostat data. [+]

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