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Considerations for future revisions of SNA Statistics Denmark

This document discusses the importance of SNA statistics, the need for stability in international standards, lessons learned from past updates, and proposals for future revisions. It highlights the relevance and usability of SNA data for macroeconomic measurement, business cycle analysis, structural analysis, and economic welfare. The document also emphasizes the importance of minimizing assumptions, imputations, and the use of modelling, while considering the benefits and costs of making changes to the standards.

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Considerations for future revisions of SNA Statistics Denmark

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  1. Considerations for future revisions of SNAStatistics Denmark High Level Forum for the Long-Term Development of the SNA 17-18 November 2008 Session 4

  2. Organization of the introduction • SNA - the most important international statistical standard • National Accounts - a part of a statistical system • National Accounts – close to observable facts • Need for stability in international standards • Lessons learnt from the update • Proposals for future revisions

  3. SNA – the most important international statistical standard • Important macroeconomic measure • Used by experts and the public • Relevant to users • information on many aspects • consistent time series • international comparability • easy to use • Multipurpose dataset • growth economics • business cycle analysis • structural analysis • economic welfare • Stable over time

  4. National Accounts – part of a system • SNA – principles is reflected in surveys • National Accounts – a building bloc of a coherent system of statistics • from production • from users • Use the strength of each kind of statistics • Satellite accounts • a solution for special needs • welfare, sustainable GDP, productivity in public sector

  5. National Accounts – close to facts • Minimize the number of imputations • leave that to users with particular needs • Minimize the importance of modelling • when used keep the importance of the variable low • Minimize assumptions • in conflict with quality principles for official statistics • Keep it simple

  6. Need for stability in international standards • Confusion • Long implementation period • Many users against data revisions • Expensive to make changes • Consider benefits and cost

  7. Lessons learnt from the update • World-wide involvement • Clear scope (44 issues) • Contemporary revision of BOP and public finance • Too short time to absorb the many country comments • Clear scope limited the process • Too soon after SNA93

  8. Proposals for future revisions • No continuous updating • Stability – 25 years between revisions • Procedure and governance for the process laid down up front • Recommendations for the implementation • Close cooperation with other statistical areas • NA is a core of a broader system of statistics

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