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Modernising the system of micro-data collections in social statistics

A strategic plan to streamline micro-data collections in social statistics for efficiency gains, flexibility, and responsiveness. Proposed pillars 'Labour' and 'Living conditions' to rationalize surveys, integrate admin info, and improve timeliness.

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Modernising the system of micro-data collections in social statistics

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  1. Modernising the system of micro-data collections in social statistics Item 2 of the agenda Strategic TF on Modernisation of Social Statistics

  2. Why? • to realise efficiency gains in order • to make the system more flexible and responsive ________ Efficiency gains through - increased use of administrative information - rationalising the system of micro-data collections (in particular the survey components)

  3. The current situation • Nine micro-data collections at EU level LFS, SILC, ICT AES, EHIS HBS, TUS SASU, ESHSI • Potential for improvement due to - duplications/overlaps - insufficient integration - non-harmonised approach for ad hoc modules to the different surveys - need for a systematic review of accurcay/frequency requirements for variables across surveys

  4. A rationalised system: medium-term strategy • Two pillars: ‘Labour’ and ‘Living conditions’ • Each pillar based on the current two main flagship surveys (LFS; SILC) • Criteria for attaching modules to each pillar: - mainly content-related - sometimes sample size/timeliness • Each pillar composed of: - a fixed (quarterly/annual) component - a modular annual component

  5. Sources of efficiency gains • Extended use of administrative information • Systematic use of sub-sampling in the labour pillar • Use of rolling modules in the Living conditions pillar • Limitation of overlap in terms of content (compared to the current situation) • Efficiency gains would allow an improvement in timeliness and responsiveness - via inclusion in the labour pillar of some new modules to answer new policy needs - via inclusion of very short set of 4/5 questions for fast-track answer

  6. Possible levels of requirement • Degree of regulation for the target infrastructure for the implementation at national level (fully flexible; regulated with flexibility accompanied with a recommended infrastructure) • Data source(s) to be used for each domains/variables • Type of harmonisation to be used for each domain/variable (strict input harmonisation; ex-post output harmonisation) • Sampling/fieldwork aspects for implementation at national level (some rules are regulated, recommended or not)

  7. Floor is open for discussion

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