Estadísticas de la UE. CDE Universitat de València

CoverLabour market attractiveness in the EU

In this work we present a framework developed for the European Big Data Hackathon 2017. This framework is divided in two parts: an exploration part, which is aimed to better understand the EU global labour market and to capture its heterogeneity; and an inferential part, whose goal is to establish associations between characteristics of the EU labour market and indicators designed to capture important aspects of the labour market (i.e. Skills mismatch, Mobility and Emigration). For the exploration part, we developed the concept of Labour Market Attractiveness, which consists of a combination of socio-economic and demographic variables from Eurostat datasets. Using data mining techniques, such as social networks and clustering analysis, we showed that this combined set consistently captured the country-level heterogeneity in the EU, forming well-defined clusters. For the inferential part, we used model selection analysis and weighted network correlation analyses to establish associations between the characteristics of the EU labour market and the labour market indicators. We argue that the combination of both exploration and inferential parts can disentangle the complex dynamics of the EU labour market and help setting effective policies to tackle typical problems of a fast-changing global labour market environment. [+]

CoverHandbook on the compilation of statistics on illegal economic activities in national accounts and balance of payments

The present Handbook represents the first comprehensive overview of conceptual and practical issues related the compilation of statistics on illegal economic activities (IEAs) in national accounts (NA) and balance of payments (BOP).

Estimating the extent or the value of IEAs is clearly problematic because a direct observation is often out of question. However, statistical institutions and data users have increasingly recognised the need for comprehensive, reliable and internationally available information on IEAs in NA and BOP. Therefore, the purpose of this Handbook is to provide a common definition of IEAs and guidance for collecting and compiling IEA statistics, in a consistent and coordinated way. The aim is also to contribute to improved collection and compilation and to a greater understanding of IEA transactions.

This Handbook is the result of the joint work of the members of the Task Force on the Recording of IEAs in NA and BOP, consisting of experts from the European Commission, European national statistical institutes and central banks, as well as UNODC, ECB, OECD and European Parliament - European Parliamentary Research Service. [+]

CoverSport statistics. 2018 edition

This leaflet is the 2nd edition of a compact guide on sport statistics available at Eurostat. The statistics presented here are derived from different EU data collections such as employment and international trade. In addition, this edition provides the most recent data on attending live sport events and practising physical activity. [+]

CoverLabour Force Survey in the EU, candidate and EFTA countries – Main characteristics of national surveys 2016

The present report describes the main characteristics of the Labour Force Surveys in the 28 Member States of the European Union, as well as two Candidate Countries and three EFTA countries in 2016. All these countries provide Eurostat with LFS micro-data for publication. The aim of this report is to provide users with the means to accurately interpret the LFS results by providing information regarding the technical features of the Labour Force Surveys carried out in these countries. [+]

CoverCompilers guide on European statistics on international trade in goods by enterprise characteristics (TEC)

The main objective of this Compilers Guide is to provide a comprehensive overview of the compilation of indicators on trade in goods by enterprise characteristics (TEC). It aims to serve as a methodological handbook providing the necessary definitions, instructions and methodological guidance for the regular compilation of TEC statistics. [+]

CoverEurostatistics — Data for short term economic analysis — Issue No 2/2018

Eurostatistics — Data for short-term economic analysis — shows the evolution of the economic activity in the European Union, euro area and Member States. This monthly review gives a synthetic picture of the macroeconomic situation in the recent past. It is based on Principal European Economic Indicators (PEEIs), complemented by some business cycle indicators. [+]

CoverBasic figures on the European Neighbourhood Policy-East countries — 2018 edition

This leaflet presents a series of socio-economic key indicators collected in 2017 for the Eastern European countries covered by the European Neighbourhood Policy (ENP-East). The ENP-East countries comprise Armenia, Azerbaijan, Belarus, Georgia, Moldova and Ukraine. [+]

CoverBasic figures on the European Neighbourhood Policy-South countries — 2018 edition

This leaflet presents key indicators in the economic and social fields collected in 2017 for the EU's southern partner countries covered by the European Neighbourhood Policy (ENP-South). The ENP-South countries comprise Algeria, Egypt, Israel, Jordan, Lebanon, Libya, Morocco, Palestine and Tunisia. [+]

CoverEurostatistics — Data for short term economic analysis — Issue No 1/2018

Eurostatistics — Data for short-term economic analysis — shows the evolution of the economic activity in the European Union, euro area and Member States. This monthly review gives a synthetic picture of the macroeconomic situation in the recent past. It is based on Principal European Economic Indicators (PEEIs), complemented by some business cycle indicators. [+]

CoverMethodologies used in surveys of road freight transport in Member States, EFTA and Candidate countries - 2017 edition

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 2015 and 2016, according to data availability. ‘Methodologies used in surveys of road freight transport in Member States, EFTA and Candidate Countries’ is published in English only. [+]

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