Oposiciones. CDE Universitat de València

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. [+]

CoverEURONA — Eurostat Review on National Accounts and Macroeconomic Indicators — Issue No 1/2018
EURONA is an open access, peer reviewed, scholarly journal dedicated to National Accounts and Macroeconomic Indicators. EURONA aims at providing a platform for researchers, scholars, producers and users of macroeconomic statistics to exchange their research findings. This first issue of 2018 includes articles on the capitalisation of research and development expenditures, the measurement of property price indices, chain indices and dynamic pricing. [+]

CoverBasic figures on the EU — Second quarter 2018
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 three alternating indicators. The same content is available in a compact printed leaflet. [+]

CoverEuropean statistics Code of Practice — revised edition 2017

The European Statistics Code of Practice was first adopted by the Statistical Programme Committee (SPC) in 2005. The Code was revised by the European Statistical System Committee (ESSC) in 2011 and 2017; the ESSC endorsed the latter revision on 16 November 2017. The revised Code has 16 principles concerning the institutional environment, statistical processes and statistical outputs. The Code aims to ensure that statistics produced within the European Statistical System (ESS) are relevant, timely and accurate, and that they comply with the principles of professional independence, impartiality and objectivity. A set of indicators of best practices and standards for each principle provides guidance and a reference for reviewing the implementation of the Code. We are currently working on the other language versions and they will become available shortly. [+]

CoverHandbook on Seasonal Adjustment

Seasonal variation is one of the key factors, if not the key factor, that can impact the analysis of times series. In order to derive a meaningful analysis of the data under consideration, this seasonality has to be taken into account and adjusted for. The purpose of this handbook is to take stock of the existing techniques for seasonal adjustment and to propose amendments to the conventionally used methods. [+]

CoverAnalysis of the most recent modelling techniques for big data with particular attention to Bayesian ones

In this report we describe various methods suited for the analysis of linear models with a very large number of explanatory variables, with a special emphasis on Bayesian approaches. We next consider some non-parametric and/or non-linear methods suited for applications with big data, such as random trees, random forests, cluster analysis, deep learning and neural networks. Finally, we survey techniques for summarizing the information in large (possibly sparse) datasets, forecast combination approaches, and techniques for the analysis of large mixed frequency datasets. [+]

CoverProviding comparable information to assess global financial stability risks

The Conference of European Statistics Stakeholders (CESS) brings together European stakeholders such as official statisticians, methodologists, private data producers/providers and data users. The conference, held biennially, gives participants an opportunity to discuss user needs and exchange good practices in statistical production and outreach. It is also an opportunity to illustrate innovative ways of visualising and communicating statistics and promote new methodological ideas in data conception, collection and analysis.

This Statistical Report contains the full-length version of the paper “Providing comparable information to assess global financial stability risks”, presented at CESS 2016 (Budapest 20-21 October 2016) by Bruno Tissot (Head of Statistics & Research Support at the Bank for International Settlements). [+]

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