CoverMicro- and macro-drivers of child deprivation in 31 European countries — 2020 edition

This paper analyses child deprivation in 31 European countries, using the scale officially adopted in March 2018 to measure child-specific deprivation at EU level. It combines single level and multilevel models to get a full picture of child deprivation drivers in EU countries. With regard to within-country differences, our results confirm the combined impact of variables related to the “longer-term command over resources” and variables indicating “household needs”. However, our results also show that the relationship of these variables with child deprivation differs between countries. In the richest countries, the explanatory power of the variables related to household needs is the largest, whereas in the most deprived countries, the explanatory power of resource variables is generally greater. With regard to between-country differences, the specification of the model needs careful consideration. We argue that multilevel models should include household income at the micro level, if the aim is to fully gauge the impact of households’ “longer-term command over resources” at the micro level. The multilevel model then assesses how much country-level features that are not reflected in household income and other individual characteristics at the micro level contribute to explaining differences across countries in deprivation. We find that public spending on in-kind social benefits is significant in this respect. Public spending on cash transfers plays only a limited role, when household incomes at the micro level are included; they play a significant role when household income is excluded. This does not diminish the importance of cash transfers in fighting child deprivation, but it qualifies the conclusions of papers which have analysed the relationship of social transfers on deprivation, using multilevel models but without controlling for individual household income. Finally, we find a significant relationship of GDP per capita, even when individual household incomes are included. This is not self-evident: it shows that GDP per capita is a proxy for important contextual variables which are not reflected in individual incomes and other individual characteristics. [+]

CoverThe comparability of the EU-SILC income variables: review and recommendations — 2020 edition

EU-SILC is the most important microdata source for studying income and living conditions across the European Union. In this paper, we study variations between countries with respect to how individual income components are aggregated into the EU-SILC target variables. In particular, we look at compliance with Eurostat guidelines, misclassifications and omitted income sources, all potentially undermining cross-national comparability. On the basis of a survey among national statistical institutes, we compiled a database which maps the exact classification of income components onto the EU-SILC target variables. The focus of the database is on EU-SILC 2015, covering 26 EU-SILC countries. The database contains information on the composition of variables on total income before and after transfers; income from benefits, work and capital; social contributions and taxes. As a result of this exercise, we outline some general conclusions with regard to (1) cross-national deviations with regard to the calculation of the EU-SILC total income variables; (2) the classification of national income components (e.g. particular benefits) that can be considered “borderline cases” which are currently classified inconsistently across countries; (3) possibilities for improving the definition of target variables; (4) the (unjustified) omission of some income components from EU-SILC target variables; (5) recommendations that may be helpful to improve the comparability of EU-SILC in the future. [+]

Lunes, 16 Diciembre 2019 10:05

Enlace de microdatos. Edición 2019

CoverMicro data linking — 2019 edition

Microdata linking (MDL) provides an opportunity to discover new information and to develop new statistics and indicators both when using existing data sets but also when combining with new data collections. The guidelines for MDL gather past experiences and best practices of the microdata linking, focusing on the most recent exercise of linking Business demography (BD) and Trade by enterprise characteristics (TEC) data. The key concepts and sources are described in broad terms. The central role of the Business register is emphasized when carrying out microdata linking exercises.

This publication introduces the rationale and key elements of microdata linking and suggests new angles for economic analysis and support for policy making. It also deals with the benefits and limitations of microdata linking and the main lessons learned so far. [+]

CoverStatistical requirements compendium — 2019 edition

The Statistical requirements compendium, published by Eurostat, serves as a reference document for the EU acquis in statistics. It summarises the key reference information for European statistical production, taking into account new legislation and other developments relevant for European statistics.

The Compendium also serves as the framework for conducting compliance monitoring of the enlargement countries in the area of statistics. The 2019 edition of the Compendium follows an adapted version of the Classification of Statistical Activities (CSA) Rev. 1 2009. [+]

CoverBasic figures on the EU — Fourth quarter 2019

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. [+]

CartellTaller Eurostat, coneixement i ús d’estadístiques Europees
Dijous 12 de desembre de 2019. 10 h.
Facultat d’Economia de la Universitat de València. Saló de Graus

Aquest seminari te com a finalitat conèixer en detall les estadístiques europees que ofereix Eurostat (Oficina d’estadística de la Unió Europea) i com fer ús d’elles mitjançant la localització i descarrega de dades. El curs està dirigit a totes aquelles persones interessades en conèixer i utilitzar les estadístiques de la Unió Europea o d’altres països europeus. Especialment dirigit a l’estudiantat universitari així com a professionals que necessiten utilitzar estadístiques europees (periodistes, gabinets d’anàlisi i estudi, etc) No es requereixen coneixements previs. Duració: 4 hores

Professor: Germán Molina. Llicenciat en Ciències Econòmiques  Empresarials, Màster en Direcció d’Empresas (MBA) i Màster en Disseny Gràfic  Comunicació. Actualmente és Director de Dataly, estudi especialitzat en el disseny de la informació i la visualització de dades. És autor d’Eudata. Atlas infogràfic d’Europa. Ha segut Director Gerent de l’Institut Valencià d’Investigacions Econòmiques (Ivie). 

Hi ha possibilitat d'entregar un certificat d'assistència a aquells alumnes que el sol·liciten.


CoverKey figures on Europe — Statistics illustrated — 2019 edition

This second edition of Key figures on Europe — Statistics illustrated follows on from the success of last year’s publication.

It aims to provide intuitive visualisations, innovative data presentations and more concise text, so users can rapidly obtain an understanding of differences between Member States. It is available in English, French and German.

This publication provides you with a selection of interesting key statistics on the European Union (EU), its Member States as well as the countries of the European Free Trade Association (EFTA). Drawing from the rich collection of data available at Eurostat, we aim to provide insight into the current situation and recent developments across the EU with regard to people and society, the economy and business, and the environment and natural resources. This publication may be viewed as an introduction to EU statistics and provides a starting point for those who wish to explore the wide range of data that is freely available on Eurostat’s website at https:/ and presented in a large number of online articles in Statistics Explained. [+]

BannerComparando datos estadísticas de regiones y ciudades de modo sencillo (nueva herramienta)

Eurostat offers a wide range of web tools to make it easier to visualise statistical results. Showing data at a regional and local level is often a challenge, as the information available is vast and difficult to condense. That is why we have developed a tool called 'Regions and cities illustrated' to help you have an overview of the situation in your region compared to other regions in the EU in 2018 and over time. The visualisation tool is based on a live data feed, so it is continually using the latest data. It contains maps, graphs and an animated timeline together with separate tabs for regions, cities and territorial typologies. The two main scoreboards are inter-connected, so when you select a geographical area in the map it is also highlighted in the graph. You can now also customise the tool to suit your needs. [+]

CoverManual on sources and methods for the compilation of COFOG statistics - Classification of the Functions of Government (COFOG) — 2019 edition
This manual has been developed and agreed by the Task Force on COFOG in response to an increasing interest in high quality, comparable statistics on government expenditure broken down by purpose, according to the Classification of the Functions of Government (COFOG). It is its third edition. The manual covers user requirements, the analytical framework, methodological guidance, links with other international statistics, and countries' compilation practices. In comparison to previous editions, the manual was completely updated, most importantly to reflect the ESA 2010 (European System of Accounts) framework. Further guidance is given by the addition general guidance on the recording of consumption of fixed capital on own-account research and development (R&D) and correspondences among the COFOG classification and economic transactions used in the ESA 2010 framework as well as of sixteen new case studies. [+]

CoverData uncertainties: their sources and consequences

Official economic statistics are uncertain even if not always interpreted or treated as such. From a historical perspective, this paper reviews different categorisations of data uncertainty, specifically the traditional typology that distinguishes sampling from nonsampling errors and a newer typology of Manski (2015, Journal of Economic Literature). Throughout the importance of measuring and communicating these uncertainties is emphasised, as hard as it can prove to measure especially some sources of data uncertainty relevant for administrative and big datasets. Accordingly, this paper both seeks to encourage further work into the measurement and communication of data uncertainty in general and introduce the COMUNIKOS project at Eurostat. COMUNIKOS is designed to evaluate alternative ways of measuring and communicating data uncertainty specifically in contexts relevant for official economic statistics. [+]

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