Estadísticas de la UE. CDE Universitat de València

CoverAt the margin: By how much do social transfers reduce material deprivation in Europe ?

Since the adoption of the Europe 2020 social inclusion target, the population at risk of poverty or social exclusion has not decreased sufficiently to meet the target in EU countries. It is therefore important to evaluate the role and effectiveness of the policies adopted to combat income poverty and social exclusion in Europe. This paper takes a regression-based approach to estimating the effects of transfers on material deprivation, using the 32 countries covered by the EU Statistics on Income and Living Conditions (EU-SILC) and the new indicator of material and social deprivation agreed at EU level in 2017 (see Guio et al., 2017). It thereby complements established methods using income to evaluate policy impacts. The approach has broader applicability, suited to social indicators whose scaling has similar properties, such as housing deprivation indicators. This paper is the first to estimate and compare the average marginal effect (AME) of a small income transfer across the 32 EU-SILC countries. It finds that the impact of social transfers on material deprivation is higher at lower living standards, an effect that is present both within and across countries and underlines the importance of a progressive social transfer system. It further finds that households receiving non-pension transfers would experience, on average, the largest decrease in material deprivation. In many Eastern European countries, receivers of pension transfers would also see above population average reductions in material deprivation. A comparison of the Baltic States illustrates how factors other than the national social transfer system and living standards studied here play a role in explaining cross-national differences in AME. The paper further calculates the predicted effects of such increases in social transfers on the EU’s official material deprivation rate and social spending levels. From an econometric point of view, this paper offers new methodological insights, by systematically comparing the performance of count data models (Poisson, negative binomial and zero-inflated negative binomial) and ordered regression models (ordered logit and generalized ordered logit) to predict the material deprivation distribution. It finds that ordered logit models systematically outperform the count models. [+]

CoverSDGs and me — 2020 edition

This innovative digital publication, named 'SDGs & me', aims to help you to understand what the 17 SDGs are about and invites you to explore and evaluate the situation of your country compared to others. It offers easy understandable visualisation tools for a selected sub-set of the 100 EU SDG indicators. [+]

CoverSustainable development in the European Union — Monitoring report on progress towards the SDGS in an EU context — 2020 edition

Sustainable development is firmly anchored in the European Treaties and has been at the heart of European policy for a long time. The 2030 Agenda for Sustainable Development and its 17 Sustainable Development Goals (SDGs), adopted by the UN General Assembly in September 2015, have given a new impetus to global efforts for achieving sustainable development. The EU is fully committed to playing an active role to maximise progress towards the Sustainable Development Goals. This publication is the fourth of Eurostat’s regular reports monitoring progress towards the SDGs in an EU context. The analysis in this publication builds on the EU SDG indicator set, developed in cooperation with a large number of stakeholders. The indicator set comprises around 100 indicators and is structured along the 17 SDGs. For each SDG, it focuses on aspects which are relevant from an EU perspective. The monitoring report provides a statistical presentation of trends relating to the SDGs in the EU over the past five years (‘short-term’) and, when sufficient data are available, over the past 15 years (‘long-term’). The indicator trends are described on the basis of a set of specific quantitative rules. [+]

CoverConsolidated quality report on healthcare expenditure and financing statistics — 2020 edition

This quality report provides users with a tool for assessing the quality of healthcare expenditure and financing statistics, which are collected following the methodology of a System of Health Accounts (SHA2011) and disseminated by Eurostat. For the first time, an evaluation on the quality of the data has been carried out for the following components: relevance, accuracy and reliability, timeliness and punctuality, coherence and comparability, accessibility and clarity. Users will also find detailed information by country and improvements to be implemented for the next quality exercise. [+]

CoverSustainable development in the European Union — Overview of progress towards the SDGS in an EU context — 2020 edition

This brochure is a ‘light’ version of Eurostat's publication Sustainable development in the European Union — 2020 monitoring report on progress towards the SDGs in an EU context, conveying its main messages in a visual and concise way. The brochure builds on the EU SDG indicator set which comprises around 100 indicators structured along the 17 SDGs. It presents a statistical overview of trends for each indicator, described on the basis of a set of specific quantitative rules and focusing on short-term trends over the past five years. For a detailed presentation of the EU trends and a description of the methodology, please refer to the full Eurostat SDG publication. [+]

CoverAsylum and managed migration statistics — 2020 edition

This compact guide offers a quick insight into Eurostat’s statistics on asylum and managed migration. It presents the statistical data on asylum applications and decisions, Dublin procedure, residence permits as well as the enforcement of immigration legislation collected by Eurostat in accordance with the related legislation. It also outlines various dissemination products and provides links to other useful information. [+]

CoverEurostatistics — Data for short-term economic analysis — 2020 edition — 06/2020

Eurostatistics — Data for short-term economic analysis — shows the evolution of the economic activity in the European Union, euro area and Member States. This monthly review gives a synthetic picture of the macroeconomic situation in the recent past. It is based on Principal European Economic Indicators (PEEIs), complemented by some business cycle indicators. [+]

CoverThe European economy since the start of the millenium — a statistical portrait — 2020 edition

This digital publication The European economy since the start of the millennium — a statistical portrait aims to show how main features of the economy of the European Union and its Member States have evolved since 2000 through a large range of statistical data giving both a micro- and a macro-economic perspective.

Throughout the publication, brief descriptions of the main findings are completed with interactive visualisations, where you can compare your country with other countries. This publication is aimed at those who would like to have an overview of the economic trends in the EU since 2000 in an easy and interactive way. [+]

CoverEuropean harmonised Labour Market Areas — Methodology on functional geographies with potential — 2020 edition

The Labour Market Area (LMA) is already a well-established and widely discussed concept in regional geography and statistics. This interesting concept, essential for the creating of typologies modelling real life situations, has been intensively studied in the Eurostat’s Working Group on Regional, Urban and Rural Development Statistics, both in two dedicated Task Forces (on harmonised LMAs in 2014/2015 and on LMAs at the European scale in 2018/2019) and as a subject of EU grants in 2016/2017. A number of workshops have been organised with the participation of National Statistical Institutes and the scientific community to discuss and solve methodological and IT issues, to develop guidelines on delineation of Labour Market Areas and to exchange knowledge. The aim of this Statistical Working Paper is to demonstrate the wealth of knowledge and experience gained during the period 2014-2019 and to summarise the results of the work done on the LMAs, thus defining a basis for further statistical and methodological research and for application of the concept to national and EU territorial policies. The paper tells the story of the evolution of the concept of LMAs during the joint work of Eurostat and the National Statistical Authorities. The contents is focused on key LMA related topics such as legal and policy framework for LMAs, methodology, challenges, use cases, link to other territorial classifications and functional geographies. The paper also builds up on the information on methodological activities in the field of the LMAs presented in 2018 at two international conferences co-organised by Eurostat: Quality in Official Statistics held in Krakow and the Conference of European Statistics Stakeholders held in Bamberg. [+]

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CoverBasic figures on the EU — Second quarter 2020

The quarterly series 'Basic figures on the EU' presents the freshest Eurostat data on a small number of key indicators in the economic, social and environmental fields. In an effort to give readers a better overview of the data available in the Eurostat database, each edition of Basic figures on the EU introduces a set of alternating indicators. The same content is available in a compact printed leaflet.  [+]

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