Oposiciones. CDE Universitat de València

La Comisión organiza un procedimiento de selección con vistas a constituir una lista de 25 candidatos seleccionados para contratar a 12 administradores de grado AD 8 en Eurostat en el ámbito de las cuentas nacionales, balanza de pagos, precios y del procedimiento de déficit excesivo / estadísticas de las finanzas públicas.La fecha límite para la presentación de candidaturas es el 16 de agosto de 2018 | W3 Eurostat, 10.7.2018

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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Do you actively use European statistics as part of your job or for personal interest? Would you like to hear about how other users use statistics or are you interested in exchanging views with statisticians about methodology? You can do all of that now – by joining discussions in the European Statistics User Forum. These discussions are moderated by statistics producers from Eurostat and European national statistical institutes.

Sign in to the new European Statistics User Forum to participate in our first ongoing discussions on EU SILC microdata, 'Income, Consumption and Wealth' data (experimental statistics) and the 'Food Price Monitoring tool' (experimental statistics). Subscribe to the Forum to be informed of new discussions. If you have any questions or suggestions, please contact us at Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo.. [+]

CoverEURONA — Eurostat Review on National Accounts and Macroeconomic Indicators — Issue No 2/2017

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 second issue of 2017 includes articles on statistics for financial stability analysis, on explaining nowcast errors, on the measurement of intangible assets and on the estimation of data on foreign trade. [+]

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