United Nations Department of Economic and Social Affairs

Vision - Forum on Africa Statistical Development “Our vision…………. . • as core producers

Decision-making in economic statistics Global accumulation of knowledge of decisions and s/understanding needed in

Assumptions critical to economic statistics Assumptions of closed economy and equilibria irrelevant Limitations in

Development path for NSI Planning Anticipate change in direction of statistical sources and statistical

Integrating elements INTEGRATION THROUGH COMMON METHODOLOGY AND PRACTICE MATCHING BY COMMON STATISTICAL SURVEY FRAMES,

Managing obsolescence in statistical Development process project scale 18 months Sources Information Management 15

Core capabilities of National Statistics Fundamental Pillars of Official Statistics T R U S

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United Nations Department of Economic and Social Affairs/ Statistics Division (UNSD) International experience in economic statistics programmes Regional Workshop for African Countries on the Compilation of Basic Economic Statistics Addis Ababa, Ethiopia, 16 – 19 October 2007 Presenter: Len Cook, UNSD Consultant

Vision - Forum on Africa Statistical Development “Our vision…………. . • as core producers of statistics in Africa • is the installation of a statistical infrastructure, • through enhanced partner-ship among stakeholders at all levels, • capable of providing and promoting the effective management and utilization of quality data, and • information for evidence-based policy and decisionmaking, • monitoring development programmes and • democratic accountability. ” Statistical Development in Africa: A Strategic framework 2

Decision-making in economic statistics Global accumulation of knowledge of decisions and s/understanding needed in societies National accumulation of knowledge Statistical Frameworks national/international Statistical processes Statistical methods Statistical practice Surveying Statistical measures Country decisions/ understanding

Assumptions critical to economic statistics Assumptions of closed economy and equilibria irrelevant Limitations in classification and valuation Unpredictable change in economic system Public institutions do not manage relevant transactions

Development path for NSI Planning Anticipate change in direction of statistical sources and statistical measures High Continuity of Government Funding to NSI Capacity to change the scope and quality of statistics low Capacity to repeat annual and monthly operations Capacity to extend statistical activities and maintain regular activity Low ---- User commitment ---- high

Integrating elements INTEGRATION THROUGH COMMON METHODOLOGY AND PRACTICE MATCHING BY COMMON STATISTICAL SURVEY FRAMES, AND IDENTIFIERS COMMON QUALITY MEASURES FOR SURVEY EVENTS COMMON ORGANISATION OF DATA ARRAYS REAL TIME SURVEY PROCESS INFORMATION REPLACEABLE COMMON TOOLS, AND SYSTEMS COMMON DATA MANAGEMENT (ORACLE) USERS DETERMINE WHOLE SYSTEM CROSS CUTTING VARIABLES META DATA REAL-TIME PROCESSES OF STATISTICAL FRAMEWORKS & SYSTEMS

Managing obsolescence in statistical Development process project scale 18 months Sources Information Management 15 months One year Meta data 9 months Methods and survey tools 6 months Presentation and extraction tools 3 months Investment Life-span Competitiveness Innovation Responsiveness Best practice Reliability Cycle times Cost structure Integration Coherence Knowledge base Geographic base

Core capabilities of National Statistics Fundamental Pillars of Official Statistics T R U S T I N T E G R A T I O N R E L E V A N C E E X P E R T STATISTICAL SYSTEM NSI FOCUSED CAPABILITIES Statistical Legislation Statistical Standards Statistical Frameworks Training Knowledge of methodologies International co-operation Statistical Organisation Privacy Legislation Code of Practice Advisory Bodies National Information Policy Regional Collaboration Information Technology Market Infrastructures Accreditation of quality P E R F O R M A N C E GLOBAL NETWORKS UN Principles of Official Statistics UNSNA Beijing (Women) Rio (Environment) Voorburg (Services) Ottawa (Prices) IMF SDDS 11