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Short Term Economic Statistics Timeliness Framework

Short Term Economic Statistics Timeliness Framework. Richard McKenzie OECD. The STES Timeliness Framework. Review of the framework, its original development, usage and promotion Recent statistics on usage Plans for 2006 update – and comparison with 2005 update

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Short Term Economic Statistics Timeliness Framework

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  1. Short Term Economic Statistics Timeliness Framework Richard McKenzie OECD

  2. The STES Timeliness Framework • Review of the framework, its original development, usage and promotion • Recent statistics on usage • Plans for 2006 update – and comparison with 2005 update • Discussion by STESWP on the need for future updates to the framework

  3. STES Timeliness Framework - Background • Developed by the STESEG taskforce on timeliness and benchmarking • Aims to assist countries to improve the timeliness of the STES they produce (reduce costs & improve accuracy as well) • A collection of good practices which cover all aspects of the statistical production process • First version went live on the OECD website in September 2004, first update in September 2005 • STESWP has the role to improve, maintain, use and promote the framework

  4. Development of the STES Timeliness Framework • Timeliness is a function of the statistical production process • However best practice in one country may not be applicable to another • e.g. different user requirements, legislation, economic structures, institutional structures etc. • Desire to develop a framework which presents a range of good practices for improving timeliness across different aspects of the statistical production process

  5. Developing the STES Timeliness Framework • Multi-dimensional web based product • Each dimension providing more detail on specific methods to improve timeliness • Emphasis on how processes link together, for developing overall strategies • Only references methods with proven operational success • Contains a breath of material sourced from many countries to ensure wide applicability

  6. Developing the STES Timeliness Framework • Taskforce assessed documentation collected from national statistics offices and by reviewing relevant statistical conference proceedings: • Over 1200 papers from 9 journals and 22 statistical conferences were reviewed: 50 of these papers were included in the framework • 162 papers were submitted from 23 NSOs of which 59 were included in the framework • Current framework includes documents from 22 statistics organisations (national & international)

  7. Structure of the STES Timeliness Framework

  8. Structure of the STES Timeliness Framework

  9. The web-based version www.oecd.org/std/research/timeliness

  10. Promoting the STES Timeliness Framework • Maximise visibility on the OECD website • STESEG members promotion in their own organisations • Distribution by other international organisations to their relevant working groups • Articles in OECD and UNSD Statistics Newsletters • OECD Statistics Working paper & keynote address at the April 2006 Quality in Official Statistics Conference in Cardiff

  11. Use of the STES Timeliness Framework

  12. 2006 update of the framework • Request sent to most NSOs that participated in 2005 STESEG to provide any new documentation • 8 NSOs responded, with 4 providing a total of 20 new papers for assessment (of which 12 come from the BLS) • In 2005, 20 NSOs responded, with 11 providing a total of 33 new papers for assessment • Need to identify relevant conferences from the past year to review proceedings • Q2006 is the only one thought of so far • For the 2005 update, 6 conferences were reviewed of which papers from 5 of these were taken

  13. Future updates of the framework / discussion points • Does the lower response from NSOs suggest less work is being done to improve timeliness of STES? • Relevant conference proceedings to review for the 2006 update – suggestions please! • Framework structure and content continues to be relevant and OECD will continue to promote it • Especially for developing countries which are most of the subscribers • Also very useful as a statistical training tool • However does apparent diminishing usage justify spending STESWP resources on future updates?

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