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  Euro area and European Union employment flash estimates
  2018 edition

  Eurostat will start to publish euro area and European Union employment flash estimates based on early estimates provided by national statistical institutes on a voluntary basis. This paper describes the reasons for advancing the employment estimates and elaborates the estimation method applied. ...

  Eurostat will start to publish euro area and European Union employment flash estimates based on early estimates provided by national statistical institutes on a voluntary basis. This paper describes the reasons for advancing the employment estimates and elaborates the estimation method applied. It also discusses the assessment results of the test estimates carried out after 30 and 45 days by a Eurostat Task Force in 2017 and 2018 based on agreed criteria. The conclusion of this work is that the release of employment flash estimates for the euro area and the European Union after 45 days can start mid-November 2018. Testing to advance the estimates further to 30 days will continue.

  • Published: 2018-09-26
  • Corporate Author(s): Eurostat (European Commission)
  • Subject: data collection, dissemination of information, employment statistics, EU Member State, euro area, statistical method
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  Vocational training and labour market outcomes
  Evidence from Youth Guarantee in Latvia

  The aim of this report is to evaluate the impact of a vocational training (VT) programme introduced in Latvia in 2014 and targeted at unemployed youth. The training programme is part of the Youth Guarantee scheme supporting young people aged 15-29 who are not in education, employment or training...

  The aim of this report is to evaluate the impact of a vocational training (VT) programme introduced in Latvia in 2014 and targeted at unemployed youth. The training programme is part of the Youth Guarantee scheme supporting young people aged 15-29 who are not in education, employment or training (NEETs). This study is one of the first evaluations of a Youth Guarantee programme implemented in the programming period 2014{2020. Exploiting a priority rule given to Latvian youth under the age of 25, we use a Fuzzy Regression Discontinuity Design (FRDD) in order to identify the causal e effect of participating in the VT programme on employment outcomes. The priority rule is used to estimate the model through instrumental variables techniques by means of Two Stages Least Squares estimators. We merge rich administrative data from the State Employment Agency of Latvia, which provide information on persons who are registered as unemployed (participants and non-participants), with data from the Latvian State Revenue Service, which provide information on income before and after the programme. The estimated effects of the programme on employment and monthly income are positive but not statistically significant, although we find a strong positive effect of the priority rule on programme participation. Overall, our findings are in line with those from the literature on the evaluation of active labour market policies targeting youth.

  • Published: 2018-09-27
  • Corporate Author(s): Joint Research Centre (European Commission)
  • Subject: data collection, education policy, employment policy, employment statistics, EU employment policy, fight against unemployment, integration into employment, labour market, Latvia, professional qualifications, report, school-working life relations, vocational training, young person, youth employment, youth policy, youth unemployment
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  Situation of young people in the European Union
  Commission staff working document

  The renewed framework for European cooperation in the youth field, also known as the EU Youth Strategy, covers the period from 2010 to 2018. It is divided into three-year work cycles. At the end of each cycle, a European Union (EU) Youth Report should be drawn up by the Commission. The Council h...

  The renewed framework for European cooperation in the youth field, also known as the EU Youth Strategy, covers the period from 2010 to 2018. It is divided into three-year work cycles. At the end of each cycle, a European Union (EU) Youth Report should be drawn up by the Commission. The Council has specified that the report 'shall consist of two parts: a joint Council-Commission report (political part), and supporting documents (statistical and analytical part). The EU Youth Report will evaluate progress made towards the overall objectives of the framework, as well as progress regarding the priorities defined for the most recent work cycle and identify good practices'. This statistical part of the report presents data and information on the current situation of young people in Europe.

  • Published: 2018-07-13
  • Corporate Author(s): Directorate-General for Education, Youth, Sport and Culture (European Commission)
  • Subject: culture, education statistics, employment statistics, EU Member State, EU statistics, health statistics, information technology user, population statistics, social integration, social participation, social well-being, voluntary work, young person, youth employment, youth policy
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  Basic figures on the EU
  Second quarter 2018

  This short guide shows information for the EU, the euro area, the EU Member States and three EFTA countries. The euro area (EA-19) is composed of: Belgium, Germany, Estonia, Ireland, Greece, Spain, France, Italy, Cyprus, Latvia, Lithuania, Luxembourg, Malta, the Netherlands, Austria, Portugal, S...

  This short guide shows information for the EU, the euro area, the EU Member States and three EFTA countries. The euro area (EA-19) is composed of: Belgium, Germany, Estonia, Ireland, Greece, Spain, France, Italy, Cyprus, Latvia, Lithuania, Luxembourg, Malta, the Netherlands, Austria, Portugal, Slovenia, Slovakia and Finland. The EU-28 includes the EA-19 countries and also: Bulgaria, the Czech Republic, Denmark, Croatia, Hungary, Poland, Romania, Sweden and the United Kingdom. The EFTA countries are: Iceland, Lichtenstein, Norway and Switzerland. 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 will introduce a set of three alternating indicators. In this edition they are ‘Part-time employment, ‘Retail sale of food, beverages and tobacco’ and ‘Environmental tax revenues’. For the EU, the information presented in this short guide is generally based on data for the EU-28 and EA-19 aggregates. However, the data for inflation is based on moving aggregates that reflect the membership of the EU and euro area over time (coded EU and EA in the graphs). Quarterly growth rates are expressed in relation to the previous quarter. Quarterly data are generally adjusted by working days and/or seasonally adjusted data, although data for the government debt as well as annual rates of change for inflation are based on non-seasonally adjusted data.

  • Published: 2018-07-13
  • Corporate Author(s): Eurostat (European Commission)
  • Subject: economic statistics, employment statistics, EU Member State, EU statistics, euro area, population statistics, serial publication
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  Labour market policy statistics
  Methodology 2018

  Labour market policy (LMP) statistics are one of the data sources for monitoring the EU Employment Guidelines through the Europe 2020 Joint Assessment Framework (JAF). The JAF is an indicator-based assessment system developed and used by the European Commission, the Employment Committee and the ...

  Labour market policy (LMP) statistics are one of the data sources for monitoring the EU Employment Guidelines through the Europe 2020 Joint Assessment Framework (JAF). The JAF is an indicator-based assessment system developed and used by the European Commission, the Employment Committee and the Social Protection Committee.

  • Published: 2018-08-03
  • Corporate Author(s): Directorate-General for Employment, Social Affairs and Inclusion (European Commission)
  • Subject: employment policy, employment service, employment statistics, labour market, statistical method
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  Basic figures on enlargement countries
  2018 edition

  Latest edition.

  This short guide presents the latest data available for the European Union (EU) and the enlargement countries. The Treaty on European Union (Article 49) states that any European country may apply for membership if it respects the democratic values of the EU — a regard for human dignity and human...

  This short guide presents the latest data available for the European Union (EU) and the enlargement countries. The Treaty on European Union (Article 49) states that any European country may apply for membership if it respects the democratic values of the EU — a regard for human dignity and human rights, freedom, democracy, equality and the rule of law — and is committed to promoting them. The EU has granted the perspective of EU membership to seven enlargement countries, five of which have candidate country status — Albania, the former Yugoslav Republic of Macedonia, Montenegro, Serbia and Turkey. The other two, namely, Bosnia and Herzegovina and Kosovo (this designation is without prejudice to positions on status, and is in line with UNSCR 1244/1999 and the ICJ Opinion on the Kosovo declaration of independence) are potential candidates.

  • Published: 2018-07-27
  • Corporate Author(s): Eurostat (European Commission)
  • Subject: agricultural statistics, Albania, Bosnia and Herzegovina, economic statistics, education statistics, employment statistics, enlargement of the Union, financial statistics, Former Yugoslav Republic of Macedonia, industrial statistics, Kosovo, Montenegro, national statistics, population statistics, Serbia, trade statistics, Turkey
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  Living and working in Europe 2017
  

  Eurofound’s new multiannual work programme was launched in 2017, initiating a series of research and communication activities in the areas that the Agency has identified as critical to progress in the upward convergence of living and working conditions across Europe. These six strategic areas fo...

  Eurofound’s new multiannual work programme was launched in 2017, initiating a series of research and communication activities in the areas that the Agency has identified as critical to progress in the upward convergence of living and working conditions across Europe. These six strategic areas for intervention are: 1. Working conditions and sustainable work; 2. Industrial relations; 3. Labour market change; 4. Quality of life and public services; 5. The digital age: challenges for work and employment; 6. Monitoring convergence in the European Union. Labour markets are healthier than they have been in a decade, with more people in work than ever before and the number of people active in the labour market at an all-time high. Unemployment is decreasing across the Member States, and youth unemployment fell dramatically over the course of 2017. While these are undeniable achievements, other dimensions of the employment narrative, highlighted by Eurofound’s labour market research, also demand our attention: the fact that there are not enough jobs to meet the demand for work, that too many workers struggle with poverty, and that a large group of people are completely alienated from the labour market, all of which is socially destructive. The social impact of economic change and political decisions was set out in the first major output of Eurofound’s programme – the results of the 2016 European Quality of Life Survey (EQLS). This rich data source describes a Europe that has rallied from the wreckage of the recession. Across many dimensions of quality of life, Europeans are doing at least as well as before the economic crisis, if not better. But as well as heralding good news, the EQLS sends a clear signal that groups within our society are being failed by the economy, the labour market and social policy, that significant social inequalities remain, and that many citizens are anxious about the future.

  • Published: 2018-06-13
  • Corporate Author(s): Eurofound (EU body or agency)
  • Subject: activity report, employment statistics, EU employment policy, labour market, living conditions, quality of life, working conditions, working life
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  Basic figures on the EU
  First quarter 2018

  This short guide shows information for the EU, the euro area, the EU Member States and the EFTA countries. The euro area (EA-19) is composed of: Belgium, Germany, Estonia, Ireland, Greece, Spain, France, Italy, Cyprus, Latvia, Lithuania, Luxembourg, Malta, the Netherlands, Austria, Portugal, Slo...

  This short guide shows information for the EU, the euro area, the EU Member States and the EFTA countries. The euro area (EA-19) is composed of: Belgium, Germany, Estonia, Ireland, Greece, Spain, France, Italy, Cyprus, Latvia, Lithuania, Luxembourg, Malta, the Netherlands, Austria, Portugal, Slovenia, Slovakia and Finland. The EU-28 includes the EA-19 countries and also: Bulgaria, the Czech Republic, Denmark, Croatia, Hungary, Poland, Romania, Sweden and the United Kingdom. The EFTA countries are: Iceland, Lichtenstein, Norway and Switzerland. 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 will introduce a set of three alternating indicators. In this edition they are ‘General government expenditure’. ‘Passenger cars’ and ‘Enterprises that provided ICT training to their personnel’. For the EU, the information presented in this short guide is generally based on data for the EU-28 and EA-19 aggregates. However, the data for inflation is based on moving aggregates that reflect the membership of the EU and euro area over time (coded EU and EA in the graphs). Quarterly growth rates are expressed in relation to the previous quarter. Quarterly data are generally adjusted by working days and/or seasonally adjusted data, although data for the government surplus/deficit and debt as well as annual rates of change for inflation are based on non-seasonally adjusted data.

  • Published: 2018-04-11
  • Corporate Author(s): Eurostat (European Commission)
  • Subject: economic statistics, employment statistics, EU Member State, EU statistics, euro area, population statistics, serial publication
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  Basic figures on the European Neighbourhood Policy - East countries
  2018 edition

  Latest edition.

  This short guide presents the latest data available for the European Union (EU) and the European Neighbourhood Policy‑East (ENP‑East) countries. The ENP‑East region covers six countries: Armenia, Azerbaijan, Belarus, Georgia, Moldova and Ukraine. Georgia excludes the regions over which the gover...

  This short guide presents the latest data available for the European Union (EU) and the European Neighbourhood Policy‑East (ENP‑East) countries. The ENP‑East region covers six countries: Armenia, Azerbaijan, Belarus, Georgia, Moldova and Ukraine. Georgia excludes the regions over which the government of Georgia does not exercise effective control, and data for Moldova excludes areas over which the government of the Republic of Moldova does not exercise effective control. The latest data for Ukraine generally have a break in series in 2014 (see specific footnotes for precise coverage). Through the ENP, the EU offers its neighbours a relationship, built upon a mutual commitment to common values (democracy and human rights, rule of law, good governance, market economy principles and sustainable development).

  • Published: 2018-02-22
  • Corporate Author(s): Eurostat (European Commission)
  • Subject: agricultural statistics, Armenia, Azerbaijan, Belarus, education statistics, employment statistics, European neighbourhood policy, financial statistics, Georgia, industrial statistics, Moldova, national statistics, population statistics, Sri Lanka, trade statistics, Ukraine
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  Labour market attractiveness in the EU
  2018 edition

  In this work we present a data product developed for the European Big Data Hackathon, a competition between 22 teams which took place in March 2017. This data product is divided in two parts: an exploration part, which is aimed to better understand the EU global labour market and to capture its ...

  In this work we present a data product developed for the European Big Data Hackathon, a competition between 22 teams which took place in March 2017. This data product 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 variables from 6 Eurostats datasets on different subjects (i.e. demographics; earnings structure; education and training; life conditions; employment and unemployment; and national accounts). 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. Using model selection, we showed that the Labour Market Attractiveness set was able to capture well the variations of these indicators across EU. We further showed that the Labour Market Attractiveness set can be summarized by 6 Eigenvariables (i.e. ‘Unemployment’, ‘Poverty’, ‘Ageing Population’, ‘Education (Employed Adults)’, ‘Employment’ and ‘Earnings structure’), whose association with labour market indicators was also assessed. We argue that the combination of both exploration and inferential parts can shed some light on the complex dynamics of the EU labour market. In fact, the final goal of our developed product is to help setting effective policies to tackle typical problems of a fast-changing global labour market environment.

  • Published: 2018-03-12
  • Corporate Author(s): Eurostat (European Commission)
  • Subject: emigration, employment statistics, EU statistics, European Union, labour market, labour mobility, professional qualifications, report