Estadísticas de la UE. CDE Universitat de València

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. [+]

CoverStatistics Code of Practice for the European Neighbourhood South countries (based on the European Statistics Code of Practice)

This leaflet presents the Statistics Code of Practice for the European Neighbourhood South countries (based on the European Statistics CoP). It was approved by the Forum of Euro-Mediterranean Statisticians in May 2016. The Code is based on 16 principles concerning the institutional environment, statistical processes and outputs. A set of indicators of good practice for each of the 16 principles provides a reference for measuring the implementation of the Code. This version contains the text both in Arabic and English. [+]

CoverEnvironmental protection expenditure accounts Handbook — 2017 edition

The environmental protection expenditure accounts measure the economic resources devoted to all activities undertaken to preserve and protect the environment. This information may be used to understand society's response to environmental degradation and to help to assess the effective use of economic resources to reduce pressures on the environment. This handbook aims to support the data compilers in the process of data collection, compilation and reporting to Eurostat by explaining the underlying conceptual framework (including the scope, definitions and classifications), recalling the reporting obligations under Regulation (EU) No 691/2011 and suggesting possible applications and presentations of the results. [+]

CoverEurostatistics — Data for short term economic analysis — Issue No 3/2017

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. [+]

CoverQuality report on balance of payments (BOP), international trade in services (ITS) and foreign direct investment (FDI) statistics

The purpose of this paper is to present the overview quality report on balance of payments (BOP), international trade in services statistics (ITSS) and foreign direct investment (FDI) statistics for the year 2015, transmitted by the EU Member States, Iceland and Norway. The quality assessment has been carried out against the following quality criteria: relevance, accuracy, timeliness and punctuality, accessibility and clarity, comparability and coherence. The report shows the second assessment results since the update of the data requirements introduced by Commission Regulation (EU) No 555/2012 and the introduction of the methodology in the 6th edition of the IMF’s ‘Balance of Payments and International Investment Position Manual’ (BPM6). [+]

First and second-generation immigrants - a statistical overview

The publication First and second-generation immigrants - a statistical overview is an online Eurostat publication based on data collected by Eurostat from the 2014 Labour force survey ad-hoc module on the ‘Labour market situation of immigrants and their immediate descendants’. The previous 2008 LFS Ad-hoc module on the ‘Labour market situation of immigrants’ was also used to compare the data overtime.

In the articles, the population is divided into three main ‘migration status’ groups based on country of birth of the respondent and of their parents: ‘Native-born with native background’; ‘Second-generation immigrants’ (native-born population with at least one foreign-born parent) and ‘First-generation immigrants’ (foreign-born population). For the migrant population there is a further split based on their ‘EU’ or ‘non-EU origins’. Thus, the population of ‘first-generation immigrants’ is divided according to country of birth of the respondent into ‘first-generation immigrants’ born in another EU Member State (i.e. ‘EU origins’) and ‘first-generation immigrants’ born outside the EU (i.e. ‘non-EU origins’). For the population of ‘second-generation immigrants’, as they all are born in the reporting country that automatically belongs to the EU, their origins are based on the country of birth of their parents. Thus, the group has been split into ‘second-generation immigrants’ with ‘EU origins’ (at least one parent is born in the EU, including in the reporting country) and ‘second-generation immigrants’ of ‘non-EU origins’ (both parents are born outside the EU). The focus of the articles, which cover topics on demographic characteristics, labour market integration and level of skills and qualifications, is to compare the five sub-groups resulting from these divisions. [+]

CoverQuality report of the European Union Labour Force Survey 2015

The purpose of this quality report is to provide the users of the European Union Labour Market Statistics with a tool for assessing the quality of these statistics which are based on the European Union Labour Force Survey. It provides a brief description of the survey and a summary of the main quality indicators which are: relevance, accuracy, accessibility and clarity, timeliness and punctuality, comparability, and coherence. The quality report is updated annually. [+]

CoverBasic figures on the EU — First quarter 2017

The quarterly series 'Basic figures on the EU' presents the freshest Eurostat data on a small number of key indicators in the economic and social fields. Each issue is released during the second month of each quarter. The same content is available in a compact printed leaflet. [+]

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. [+]

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