Estadísticas de la UE. CDE Universitat de València

CoverEU guidelines for the International Classification of Crime for Statistical Purposes — 2017 edition

Eurostat deals with a great variety of legal concepts and criminal justice systems among European countries in its annual data collection on crime and criminal justice. A common classification of offences will strengthen comparability and consistency of crime and criminal justice data and improve analytical capabilities at the national, European, and international levels. A common framework based on internationally agreed concepts, definitions, and principles to group all kinds of criminal offences into useful statistical categories already exists in the International Classification of Crime for Statistical Purposes (ICCS). This common framework is applicable for all forms of crime data at all stages of the criminal justice process as well as for data collected in crime victimization surveys. The data on criminal offences published by Eurostat are already classified according to the ICCS. However, variations of national criminal law and the lack of common definitions between European countries still limit the comparability of crime data. This booklet presents the structure of the ICCS, its classification principles and its relations to existing classifications, to facilitate the implementation of the ICCS. It provides a brief overview of concrete organizational and technical tasks for a successful implementation of the ICCS at the national level, which should engage all crime data users and data providers. In addition, an implementation strategy through the creation of a correspondence table, a tabulation of all offence categories in the ICCS linked to all offences on the national level, is briefly described. [+]

CoverRevising the EU material deprivation variables
Anne-Catherine Guio, David Gordon, Hector Najera, Marco Pomati

In March 2017, the European Union (EU) adopted a new indicator of “material and social deprivation”. This measure was developed by Guio et al (2012) and covers the entire population of the 28 EU Member States. It includes 13 deprivation items and replaces the 9-item “standard” material deprivation index adopted in 2009, by the then 27 EU countries and the European Commission, to monitor progress in the fight against poverty and social exclusion at national and EU level. Drawing on the methodology developed in the context of the 1999 “Poverty and Social Exclusion in the UK Survey”, Guio, Gordon and Marlier (2012) proposed an analytical framework for producing a suitable, valid, reliable and additive deprivation measure for the EU. Their recommendations were based on analyses of the 2009 EU-SILC material deprivation module. This report extends these analyses using the 2014 EU-SILC data and demonstrates that the composition of the new material and social deprivation indicator remains optimal over a five year period of considerable socio-economic change. [+]

CoverConsistency between national accounts and balance of payments statistics — An updated view on the non financial accounts

In the light of full consistency of methodological standards in national accounts and balance of payments statistics an assessment of the consistency between the two appears justified. This paper presents the results of a recent study of consistency between the quarterly sector accounts and quarterly balance of payments statistics and elaborates on the underlying reasons for the observed discrepancies. [+]

CoverEurostat - OECD Compilation guide on inventories

The Eurostat-OECD compilation guide on inventories represents the first comprehensive overview of conceptual and practical issues related to the compilation of the balance-sheet item ‘inventories’ in the national accounts.

The estimation of inventories and changes in inventories in national accounts is often very difficult. Therefore it is the aim of this compilation guide to provide conceptual and practical guidance to statisticians on the estimation and valuation of inventories in mutual coherence with the transaction changes in inventories, and by doing so, to increase international comparability for these items. The guide clarifies theoretical concepts and possible data sources. It elaborates several estimation methods for both the asset inventories and the transaction changes in inventories, including their breakdowns into products, industries and institutional sectors. The compilation guide also addresses several special estimation cases and provides the results of a questionnaire — completed by 34 countries — on country practices regarding the estimation of inventories.

The Eurostat-OECD compilation guide on inventories was prepared by the Task Force on Land and other non-financial assets under the joint leadership of Eurostat and the OECD. Representatives from various European Union (EU) and non-EU OECD countries were represented as well as the European Central Bank. [+]

CoverHandbook on Cyclical Composite indicators – 2017 edition
For Business Cycle Analysis

The 2007-2009 global financial and economic crises revealed severe weaknesses in the system of macroeconomic infra-annual statistics which prevent a prompt detection of the crises especially when in the making.

The purpose of this handbook is to provide statistical and econometric guidance on harmonized principles for the compilation and monitoring of cyclical composite indicators. At the same time, the handbook outlines guidelines for the compilation and presentation of such indicators. [+]

CoverStatistical requirements compendium – 2017 edition

The Statistical requirements compendium, published by Eurostat, serves as a reference document for the 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 2017 edition of the Compendium follows an adapted version of the Classification of Statistical Activities (CSA) Rev. 1 2009. [+]

CoverBig data conversion techniques including their main features and characteristics

Big data have high potential for nowcasting and forecasting economic variables. However, they are often unstructured so that there is a need to transform them into a limited number of time series which efficiently summarise the relevant information for nowcasting or short term forecasting the economic indicators of interest. Data structuring and conversion is a difficult task, as the researcher is called to translate the unstructured data and summarise them into a format which is both meaningful and informative for the nowcasting exercise. In this paper we consider techniques to convert unstructured big data to structured time series suitable for nowcasting purposes. We also include several empirical examples which illustrate the potential of big data in economics. Finally, we provide a practical application based on textual data analysis, where we exploit a huge set of about 3 million news articles for the construction of an economic uncertainty indicator. [+]

CoverTowards a harmonised methodology for statistical indicators — Part 3: Relevance for policy making

Indicators more and more play a fundamental role in our modern societies and constitute an essential resource for policymakers, business leaders and the general public. They support evidence-based decision making, allow comparisons over time, between policies, countries and regions, social groups and industries, and contribute to increased transparency and accountability.

To fulfil this key role, indicators must be based on statistics that meet defined quality requirements. European statistics as produced and disseminated by Eurostat and the EU national statistical institutes meet the highest quality requirements. Being based on high quality statistics is a necessary but not a sufficient condition to make indicators policy relevant. Official statisticians, researchers and experts must be aware of the implications of the increasing role of statistical indicators in policy making. They have to engage with decision-makers to understand their needs and the expectations, but also to provide guidance for a correct interpretation and use of these indicators, and for their limitations.

This paper is the last in a series of three papers on statistical indicators published by Eurostat. The first paper on 'Indicator typologies and terminologies' was published in 2014. The second paper on 'Communicating through indicators' was released in February 2017. [+]

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. [+]

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