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The role of statistics in evidence-based policy making

Marco Segone, Regional Chief, Monitoring and Evaluation, UNICEF CEE/CIS. The role of statistics in evidence-based policy making. Based on UNICEF publication in partnership with World Bank, IDEAS, DevInfo and MICS.

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The role of statistics in evidence-based policy making

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  1. Marco Segone, Regional Chief, Monitoring and Evaluation, UNICEF CEE/CIS The role of statistics in evidence-based policy making

  2. Based on UNICEF publication in partnership with World Bank, IDEAS, DevInfo and MICS Authors: 20 senior officersfrom national Governments, local municipalities, UNICEF, WB, IDEAS, DevInfo

  3. What is Evidence-based Policy making? An approach that helps people make well informed decisions about policies, programmes and projects by putting the best available evidence at the heart of policy development and implementation.

  4. Evidence-influenced Evidence-based Technical Capacity Opinion-based Evidence-influenced Policy Environment Putting the best available evidence at the heart of policy making? Single Survey Expert Practice of Political Life Judgement Experience Resources Lobby system ► Think-tank ► Opinion leaders ► Media ► Civil Society

  5. Evidence into practice: Increasing the uptake of evidence in policy making Data Users (Policy Makers, Civil society) Data Providers (Statisticians) Need to improve dialogue How? What ? Why? When? Incentives to use evidence ????? Reliable Data Improving “usability” (Relevance, time and simplicity) Effective access

  6. The “quality” challenge: How to match technical rigour and policy relevance? Technical rigour but no policy relevance Policy relevance but no technical rigour Evidence that is technically rigorous and policy relevant.

  7. Common Database State-of-the-art database technology with royalty-free distribution UN Endorsement Endorsed by the United Nations to assist Member States in Monitoring human development MDGs Designed to assist in monitoring the Millennium Development Goals and other national plans of action A Common Database Royalty-Free Database Technology

  8. Designed for data-users needs: 92+ national adaptations

  9. PLANNING Where should Immunization efforts be targeted?

  10. Targeting at sub-national level … Proportion of 1 year old children immunized against Measles, 2004-2006

  11. MONITORING Is my programme on track towards expected results?

  12. DevInfo: monitoring the progress towards development results at national and subnational level

  13. 1999

  14. 2000

  15. 2001

  16. 2002

  17. 2003

  18. 2004

  19. .... Showing in what programme challenges exist ...

  20. EMERGENCY How can we plan response in emergency situations?

  21. 2,519,000 people ZAMBIA Buffer zone radius = 200 km

  22. devinfo.org

  23. The “quality” challenge: How to match technical rigour and policy relevance? Data-user needs should be central! Technical rigour but no policy relevance Policy relevance but no technical rigour Evidence that is technically rigorous and policy relevant.

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