Documentos. CDE Universitat de València

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. [+]

CoverStatistics on European Neighbourhood Policy countries: East — 2018 edition
This extensive statistical book on the Eastern Partnership countries covered by the European Neighbourhood Policy (ENP-East) covers the years 2006 to 2016 and contains tables and graphs on population, living conditions, health, education, labour market, economy and finance, international trade in goods, agriculture and fishing, business, science and technology, as well as transport, energy, and environment. A short commentary on the data and methodological notes are included. The Eastern Partnership countries comprise Armenia, Azerbaijan, Belarus, Georgia, Moldova and Ukraine. [+]

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. [+]

Página 9 de 682

Esta web utiliza cookies con una finalidad estadistica y para mejorar su navegación