Oposiciones. CDE Universitat de València

CoverStatistical requirements compendium. 2018 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 2018 edition of the Compendium follows an adapted version of the Classification of Statistical Activities (CSA) Rev. 1 2009. [+]

CoverStatistics Explained, your guide to European statistics

Statistics Explained is an official Eurostat website presenting articles on statistical topics in an easily understandable way. Together, these articles make up an encyclopedia of European statistics for everyone, completed by a statistical glossary clarifying all terms used and by numerous hyperlinks to further information. It is a portal of statistics for non-specialists and more skilled users. This leaflet explains how to find your way on this website. [+]

CoverInternational Recommendations on Refugee Statistics (IRRS)

With the growing prominence of forced displacement internationally, there is increasing interest at national and international levels in statistics on refugees, asylum seekers, Internally Displaced Persons (IDPs) and refugee related populations.

The publication 'International Recommendations on Refugee Statistics (IRRS)', adopted by the United Nations Statistical Commission in March 2018, provides a set of specific recommendations that countries and international organizations can use to improve the collection, collation, disaggregation, reporting, and overall quality of statistics on forcibly displaced populations. The recommendations are intended to help improve national statistics on the stocks and flows of refugee and refugee related populations in their countries, and to help make such statistics comparable internationally.

This report presents recommendations on refugees, asylum seekers and related populations only. A separate publication, the 'Technical Report on Statistics of Internally Displaced Persons: Current practice and recommendations for improvement' addresses the way forward for the development of comparable international standards for statistics on Internally Displaced Persons. [+]

This video from Eurostat is presenting some new online tools for visualising data for regions and cities. Meet Åsa Önnerfors, who is explaining the difference between the Statistical Atlas and Regions and Cities Illustrated by showing some of the functionalities and options available in the two tools. She is also presenting a mobile phone app developed especially for regional data, called My region (Eurostat, 9.10.2018)

This video from Eurostat gives a general introduction to data on regions and cities in the EU. How is Eurostat collecting data? Which countries are included? What is the policy background to regional and urban statistics? What is the GEOSTAT population grid? Meet Teodóra Brandmüller, who will present two maps about the Employment rate in the EU as well as the latest edition of the Eurostat regional yearbook (Eurostat, 19.9.2018)

Viernes, 07 Septiembre 2018 10:47

Sistema Estadístico Europeo. Informe 2017

CoverThe ESS report 2017

'The ESS Report' gives you an insider's view into the world of European statistics, produced and disseminated by the European Statistical System (ESS). The 2017 issue focuses on two major topics: 20 years of the Harmonised Index of Consumer Prices and the circular economy. It includes contributions from subject specialists, outlining how they tackle these issues at national level. This issue also includes the main initiatives of the ESS undertaken last year and features a joint interview with senior managers from the Statistical Institutes of the Malta and Estonia. The chairman of the European Parliament’s economic and monetary affairs committee, Roberto Gualtieri, is also featured in an interview. [+]

CoverPower from statistics: data, information and knowledge — Guidance report

The ‘Power from Statistics’ initiative, jointly organised by Eurostat and the European Political Strategy Centre, aims to determine which topics will be relevant to decision-makers and citizens in the future and how official statistics could best deliver information about them.

This Guidance Report is inspired by the ‘Power from Statistics Outlook Report’ (in which experts from various stakeholder groups set out their personal reflections and ideas on the future of European statistics) as well as by the high-level conference ‘Power from Statistics: delivering the evidence of tomorrow’, at which policymakers, journalists, business leaders, academics and official statisticians from all over Europe discussed the needs and challenges facing evidence-based policymaking. [+]

CoverPower from statistics: data, information and knowledge — Outlook report

The ‘Power from Statistics’ initiative, jointly organised by Eurostat and the European Political Strategy Centre, aims to determine which topics will be relevant to decision makers and citizens in the future and how official statistics could best deliver information about them.

As a first step, five thematic Round Table events were organised. Gathering expert participants from various stakeholder groups, the Round Tables covered trends in migration, globalisation, new economic and business models, sustainable development as well as statistics, science and society.

The Round Table participants wrote altogether 28 articles. They contain their personal reflections and ideas on the future of European statistics. Together, the articles form the ‘Power from Statistics Outlook Report’. [+]

CoverLiving conditions in Europe — 2018 edition

This publication provides a picture of current living conditions in Europe, as well as the socio-economic factors affecting the everyday life of Europeans.

Chapter 1 focuses on the financial dimensions of poverty and inequality.
Chapter 2 examines to what extent a lack of adequate income can prevent people from affording an adequate standard of living.
Chapter 3 presents statistics with regard to the quality of housing, while Chapter 4 provides information on the interactions between living conditions and labour and health status.

Finally, Chapter 5 provides an analysis of social participation and social integration. The majority of the indicators presented in the publication come from the European statistics on income and living conditions (EU-SILC), with data up to 2016. [+]

CoverAn overview of methods for treating selectivity in big data sources
The official statistics community is now seriously considering big data as a significant data source for producing statistics. It holds the potential for providing faster, cheaper, more detailed and completely new types of statistics. However, the use of big data also brings several challenges. One of them is the non-probabilistic character of most sources of big data, as very often, they were not designed to produce statistics. The resulting selectivity bias is therefore a major concern when using big data. This paper presents a statistical approach to big data, searching for a definition meaningful from the statistical point of view and identifying their main statistical characteristics. It then argues that big data sources share many characteristics with Internet opt-in panel surveys and proposes this as a reference to address selectivity and coverage problems in big data. Coverage and the self-selection process are briefly discussed in mobile network data, Twitter, Google Trends and Wikipedia page views data. An overview of methods which can be used to address selectivity and eliminate, or mitigate, bias is then presented, covering both methods applied at individual level, i.e. at the level of the statistical unit, and at domain level, i.e. at the level of the produced statistics. Finally, the applicability of the methods to the several big data sources is briefly discussed and a framework for adjusting selectivity in big data is proposed. [+]

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