'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. [+]
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. [+]
Economy-wide material flow accounts handbook
Economy-wide material flow accounts (EW-MFA) are a statistical accounting framework describing the physical interaction of the economy with the natural environment and with the rest of the world economy in terms of flows of materials. EW-MFA is one of the modules included in Regulation (EU) No. 691/2011 on European environmental economic accounts.
This handbook presents the theoretical and conceptual foundations of EW-MFA and provides compilation guidelines as well as possible applications. It primarily addresses compilers of EW-MFA but also the users who are interested in understanding more of the underpinning statistical methodology. [+]
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’. [+]
An 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. [+]
This publication provides information on the data source, the methodology and statistical software used by Eurostat to decompose the unadjusted gender pay gap, and the results of this decomposition. The unadjusted gender pay gap combines possible differences in pay between men and women, for ‘equal work or work of equal value’, with the impact of differences in the average characteristics of men and women in the labour market. To measure the impact of differences in the average characteristics of men and women, Eurostat has used microdata from the Structure of Earnings Survey 2014. A statistical method known as the Blinder-Oaxaca decomposition method was applied on this dataset to isolate the contribution of each observed characteristic to the unadjusted gender pay gap. Eurostat’s methodology and results should help data users and policy makers to better interpret the unadjusted gender pay gap. [+]
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. [+]
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. [+]
The present document describes the methods used by Member States, candidate and EFTA countries in their surveys on road freight transport statistics. Part I describes national methodologies for data collection. This information is based on questionnaires completed by the reporting countries. Data in these questionnaires refer to the first quarter of 2016. Part II includes summary tables, with the basic information on sampling, response rate, register quality and precision of results of the surveys. Data on the registers used to draw the sample and the sampling methodology are relevant for the surveys conducted in the first quarter of 2016, while the main characteristics given for each country refer to the years 2014 and 2015, according to data availability. ‘Methodologies used in surveys of road freight transport in Member States, EFTA and Candidate Countries’ is published in English only. [+]
Eurostat countries are dealing with different legal concepts and traditions, different criminal justice systems and laws as well as different definitions, methodologies, and instruments to collect crime data. All these differences limit the comparability of crime statistics across Europe. Implementing a common classification of offences such as the International Classification of Crime for Statistical Purposes (ICCS) will strengthen the comparability and consistency of crime and criminal justice data and improve analytical capabilities at national, European, and international levels. Implementation steps already undertaken by Eurostat include using ICCS categories in the joint UNODC/Eurostat data collection and publishing data on criminal offences according to ICCS categories. The next goal is for Eurostat countries to implement the ICCS in the production of crime statistics on national level. [+]