The European Commission (Eurostat) and the ECB have released the updated Technical Compilation Guide for Pension Data in National Accounts. The Guide, produced by the two institutions, is a handbook for compilers and users of data on pension schemes in social insurance. It aims at supporting National Statistical Institutes, Central banks and other compilers within the European Union, to derive position and flow data for pension entitlements. The guide is also a useful tool to help users to understand the data. [+]
The Labour Market Area (LMA) is already a well-established and widely discussed concept in regional geography and statistics. This interesting concept, essential for the creating of typologies modelling real life situations, has been intensively studied in the Eurostat’s Working Group on Regional, Urban and Rural Development Statistics, both in two dedicated Task Forces (on harmonised LMAs in 2014/2015 and on LMAs at the European scale in 2018/2019) and as a subject of EU grants in 2016/2017. A number of workshops have been organised with the participation of National Statistical Institutes and the scientific community to discuss and solve methodological and IT issues, to develop guidelines on delineation of Labour Market Areas and to exchange knowledge. The aim of this Statistical Working Paper is to demonstrate the wealth of knowledge and experience gained during the period 2014-2019 and to summarise the results of the work done on the LMAs, thus defining a basis for further statistical and methodological research and for application of the concept to national and EU territorial policies. The paper tells the story of the evolution of the concept of LMAs during the joint work of Eurostat and the National Statistical Authorities. The contents is focused on key LMA related topics such as legal and policy framework for LMAs, methodology, challenges, use cases, link to other territorial classifications and functional geographies. The paper also builds up on the information on methodological activities in the field of the LMAs presented in 2018 at two international conferences co-organised by Eurostat: Quality in Official Statistics held in Krakow and the Conference of European Statistics Stakeholders held in Bamberg. [+]
This document presents the current NUTS nomenclature with 104 regions at NUTS level 1, 283 at NUTS level 2 and 1 345 at NUTS level 3. The NUTS is the official division of the EU and the UK for regional statistics, visualised on maps. For EFTA and candidate countries, the similar concept of “statistical regions” is used. These are as well part of this document. [+]
The paper examines the out-of-sample forecasting performance of mixed-frequency pVAR models for four key macroeconomic variables using data from four European economies, with the goal of providing evidence on the usefulness and reliability of these models for use by official statistical agencies. [+]
In this paper we are discussing the possibility of using quantile regression models to provide nowcasting and short-term forecasts for macroeconomic variables. The method is then applied to produce density nowcasting of euro area and GDP comparing them with the results obtained by using a combination density approach. [+]
The EHIS wave 3 manual was published firstly on the Eurostat website in March 2018. All errors and possible improvements detected in the text since then were either removed from or added to this re-edition 2020.
Public health policies need reliable data on health status, health care use and health determinants from population surveys for all EU and EEA member states. The European Health Interview Survey (EHIS) is the instrument to collect such information. The corresponding methodological manual aims ensuring a high level of comparability of the survey results across countries.
The first wave of EHIS was conducted under a gentlemen’s agreement in 17 EU Member States between 2006 and 2009. The second wave of EHIS was conducted as a mandatory survey in all 28 EU Member States, Iceland and Norway between 2013 and 2015. The third wave of EHIS is planned for 2019, based on the Commission Implementing Regulation (EU) No. 2018/255 of 19 February 2018. This manual should serve as the handbook for more detailed planning and implementing EHIS wave 3 in EU and EEA member states. Conducting the survey according to the rules and recommendations described in these guidelines is crucial for ensuring harmonized and high quality data on health across Europe.
The Methodological manual for EHIS wave 3 is split into two main parts. The first part includes conceptual guidelines and translation and interview instructions for all modules, sub-modules and variables (including model questions); an overview of core social variables is provided as well. The second part of the manual deals with statistical survey guidelines and contains also a description of the technical survey variables. Instructions on data processing (including a codebook and validation rules) and transmission to Eurostat as well as the format for quality reporting (a quality report template) are provided in separate documents. [+]
The ESS handbook for quality and metadata reports is recognised as an ESS standard and included in the catalogue of ESS standards thus representing a visible component of the ESS standardisation process. It updates the 2014 ESS handbook on quality reports (EHQR) and has been profoundly revised after the endorsement of SIMS V2.0 by the ESSC in November 2015. This publication fully incorporates SIMS V2.0 combining the ESS Standard for Quality Report Structure (ESQRS) and the Euro-SDMX Metadata Structure (ESMS), and follows the structure of SIMS V2.0. The handbook includes revised guidelines, many examples of existing reports, new material on administrative data, big data, multi-source processes, and other information. [+]
EU-SILC is the most important microdata source for studying income and living conditions across the European Union. In this paper, we study variations between countries with respect to how individual income components are aggregated into the EU-SILC target variables. In particular, we look at compliance with Eurostat guidelines, misclassifications and omitted income sources, all potentially undermining cross-national comparability. On the basis of a survey among national statistical institutes, we compiled a database which maps the exact classification of income components onto the EU-SILC target variables. The focus of the database is on EU-SILC 2015, covering 26 EU-SILC countries. The database contains information on the composition of variables on total income before and after transfers; income from benefits, work and capital; social contributions and taxes. As a result of this exercise, we outline some general conclusions with regard to (1) cross-national deviations with regard to the calculation of the EU-SILC total income variables; (2) the classification of national income components (e.g. particular benefits) that can be considered “borderline cases” which are currently classified inconsistently across countries; (3) possibilities for improving the definition of target variables; (4) the (unjustified) omission of some income components from EU-SILC target variables; (5) recommendations that may be helpful to improve the comparability of EU-SILC in the future. [+]
Microdata linking (MDL) provides an opportunity to discover new information and to develop new statistics and indicators both when using existing data sets but also when combining with new data collections. The guidelines for MDL gather past experiences and best practices of the microdata linking, focusing on the most recent exercise of linking Business demography (BD) and Trade by enterprise characteristics (TEC) data. The key concepts and sources are described in broad terms. The central role of the Business register is emphasized when carrying out microdata linking exercises.
This publication introduces the rationale and key elements of microdata linking and suggests new angles for economic analysis and support for policy making. It also deals with the benefits and limitations of microdata linking and the main lessons learned so far. [+]