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This workshop aims to discuss the need to adapt current systems of social statistics in Europe in order to meet rising expectations for flexibility and quality within reduced budgets. The workshop will present a vision and strategy for modernisation, focusing on new data sources, modularisation of surveys, statistical data matching, harmonisation of variables, multi-mode data collection, and the use of administrative data sources. The goal is to increase efficiency, responsiveness, and integration in the production of European Social Statistics.
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Modernisation of European social statistics Fernando REIS EUROSTAT ESSnet Workshop, Rome
Context • The environment is changing • Rising importance of social statistics for policy making • Rising expectations for flexibility and quality • Growth of enabling technologies for producing, storing and sharing data • Reduced budgets for public spending, including on statistics
Context • Therefore need to adapt current systems • Vision on the production method of EU statistics • From a stovepipe model • To a re-engineered production method where statistics are produced as parts of integrated model • From Vision to Strategy • A joint approach to modernising European Social Statistics • A framework for modernisation of social statistics
New data sources (Electronic footprint) Common concepts and methods Warehouse(s) Statistical processing Linking and matching Output (micro, meso or macro data) Non ESS surveys (ECB wealth) Administrative data (on individuals or aggregated) for statistical purposes Streamlined coordinated social surveys Multimode data collection PAPI, CAPI, CATI, CAWI Census Basic registers (Individuals, Households, Dwellings, Buildings, …) Population frame (incl. sampling)
Streamlining core social surveys • Aims: increase efficiency, responsiveness and level of integration • Modularisation: Breaking surveys down into smaller building blocks • Modularisation criteria: topic, frequency, sample size requirements, … • Integration: reintegrating the building blocks in a different way • Investigation of technical issues: estimation and sample design
Statistical data matching • Aim to increase the analytical potential of datasets through the application of modelling techniques • Eurostat actions: • Ex-post: matching of existing micro-data sets • Ex-ante: defining conditions for successful statistical data matching
Harmonisation of variables • Prerequisite for • Streamlining social surveys • Statistical data matching • Use of administrative data sources for statistics • Cross-cutting analyses • Core social variables as a good starting point • Eurostat actions: • Harmonised Variables in Social Statistics: Extended set to be used across surveys • Aiming at a de facto harmonisation
Multi-mode data collection • Variety of issues: • Move towards the use of computer assisted modes • Introduction of web-based interviewing • Combination of different modes • Eurostat actions: • ESSnet launched end of March
Use of administrative data sources • Issues to be addressed: • Legal: access, linkage, storage,… • Technical: common identifier • Relational: cooperation agreements, influence on design of administrative data sources,… • Quality: accuracy and reliability, timeliness and punctuality, coherence and comparability • Situations in Member States differ • Eurostat actions: • Amending Regulation (EC) 223/2009 • Exchange of good practices: workshop • Addressing quality issues
