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Selecting EU indicators for child well-being

Selecting EU indicators for child well-being . Dominic Richardson OECD Social Policy Division Child Poverty Conference Brussels 26/11/09. International frameworks of child well-being. Data driven Selects policy amenable indicators Inform over advocacy Maximises country coverage

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Selecting EU indicators for child well-being

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  1. Selecting EU indicators for child well-being Dominic Richardson OECD Social Policy Division Child Poverty Conference Brussels 26/11/09

  2. International frameworks of child well-being • Data driven • Selects policy amenable indicators • Inform over advocacy • Maximises country coverage • Minimises time lags • Multidimensional, but each select different dimensions • The use of composites

  3. Goal-focussed approach • What are the indicators for? • Which children? • For what purpose? • What are the constraints? • International agreement • Statistical capacity • Collection methods • Cultural concerns

  4. How is the EU collection unique? • Regular monitoring of OMC targets • Policy amenable • EU standard for all children • Limited set • Catch-all indicators • No composites • Reduced set / broader set (good for the why and how)

  5. Problems with present frameworks • Still too adolescent focussed • Not disaggregated by age, sex, ethnicity, etc. • Uses available data only • Missing info, e.g. • Child protection and neglect/ Mental health • Prioritisation and proportionality

  6. Selection of indicators within dimensions • Child-centred • UN Convention on the Rights of the Child • Policy amenable • Country coverage and up-to-date data • Conceptually Complementary • Rights vs. Development • Equity and Efficiency • Age coverage

  7. Statistical coverage

  8. Statistical coverage

  9. Statistical coverage

  10. Statistical coverage

  11. Constraints to context and trend analysis

  12. Some concerns • Data driven • Surveys are not designed to cover: • All children (by age, exclusions, school-based) • All aspects of child well-being • Bias will exist • Access to the data (HBSC, ESPAD) • Child poverty is not synonymous with child well-being… well-being to well-becoming • Threshold measures

  13. Some methodological suggestions (a wish list?) • Theoretical / analytical frame not data driven • Annual, timely, long -term • Validation testing / systematic bias • Policy amenable but not malleable • Avoid externalities / contradictions • Life cycle /risk approach (front-end) • Learn from child poverty (good and bad)

  14. Some methodological suggestions (a wish list?) • Theoretical / analytical frame not data driven • Annual, timely, long -term • Validation testing / systematic bias • Policy amenable but not malleable • Avoid externalities / contradictions • Life cycle /risk approach (front-end) • Learn from child poverty (good and bad)

  15. More achievable • Additional sources (EQLS, ESS, ICCS and series data) • Indicator classification (resource / outcome distinction?) • Begin the processes of: • Review the quality of available “non-material” data and sources • Identify gaps • Refined indicator checklist

  16. More achievable • Additional sources (EQLS, ESS, ICCS and series data) • Indicator classification (resource / outcome distinction?) • Begin the processes of: • Review the quality of available “non-material” data and sources • Identify gaps • Refined indicator checklist

  17. Some indicator suggestions • 2003: Teenage fertility, 2006: Child poverty • Across both frameworks • Child mortality / Subjective life satisfaction / Housing problems • Indicators to drop… • Indicators to keep… • New indicators? • Revisit selections

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