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A strategy for the development of Social Statistics in the ESS

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Presentation on theme: "A strategy for the development of Social Statistics in the ESS"— Presentation transcript:

1 A strategy for the development of Social Statistics in the ESS
Michel GLAUDE Director Social statistics and information Society EUROSTAT

2 Societal changes and new challenges
Globalisation Population ageing Increased ethnic and cultural diversity Individualisation Innovation and technological change Gender equality? See:

3 The role of the EU In line with subsidiarity and proportionality requirements MS should have the main responsibility for policy design and implementation EU actions are aimed at rising awareness and setting up policy frameworks for action based on the Open Method of Coordination OMC works through: - Setting of common objectives - Exchange of best practices - Reporting by MS according to their national strategies - Synthesis made by the Commission and endorsed by the Council

4 Statistical needs A comprehensive set of Indicators
- Structural and SDI indicators but also - Leaken (social inclusion), Education, Gender…indicators Satellite accounts (linked to National accounts) - Social protection, Health, ICT, tourism, labour… Anonymised sets of microdata for the research Community - LFS, SES, EU-SILC, CVTS Statistical analyses, monographic publications High quality is paramount

5 A statistical strategy: The essence of the work
Stat Tools Stat demands Administrative sources Surveys Accounts Others: National sources …….. Labour market Short term Stat National Registers Quarterly LFS LCI Health care & Long term care Indicators EU-SILC EHIS SHA Healthy Life expectancy (Nat sources) Others …….

6 A statistical strategy: The essence of the work (2)
x Member States x Statistical Tools x x Statistical Demands With an European point of view a third dimension (MS) is to be added to the previous matrix

7 A statistical strategy : Basic principles
Anticipation Cooperation Exploit the potential of administrative sources Enhance comparability. By more input harmonisation? Division of work between NSIs and Eurostat Develop Data Analyses Assess the costs and benefits of statistics Defend the values of Official Statistics

8 State of play Important efforts have been made over the last ten years to harmonise the main data collections at EU level by adopting a set of Framework Regulations concerning: - Surveys: LFS,EU-SILC, SES, LCS, CVTS, ICT, AES, EHIS... - Social Accounts: ESSPROS, SHA, Tourism, ICT sector… - Quality reports which are regularly released Moreover: - Main results are disseminated free of charge on the web - Anonymised Microfiles are accessible for Researchers: LFS, SES, EU-SILC, CVTS

9 Current Challenges Quality In particular as Comparability is concerned
Responsiveness To EU policy makers needs Integration From a practical point of view

10 Proposals at a transversal level
The “Core Social Variables” project - 16 identical variables collected in every EU social survey concerning Demographic, Economic and Geographic Information - To produce for sub populations information coming from various domains (Labour market, , Health, poverty…) The European Socio-economic Classification (ESeC)

11 Proposals at a transversal level (2) The European Household Survey
Objectives: Rationalisation and responsiveness A system of Household survey modules Individuals (15+) Regular Modules: - Core variables, ICT usage, Health Indicators 5-Years Modules - AES, EHIS, Victimisation… Ad-Hoc modules to respond to New policy needs: Discrimination, Consumer protection, Care services, Youth, Fertility, Social Capital… First data collection in 2010 ?

12 Main Statistical challenges by domain
Demography Labour market Living conditions and social protection Consumer protection Education, training and lifelong learning Culture Health and Safety Crime and criminal justice Discrimination Food safety Information society


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