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4th Regional Conference of Heads of Statistics and Planning, Noumea, July 22 – 26, 2013 PFTAC/IMF report on production of agreed core set of economic statistics. Outline. Presentation of PFTAC Achievements/Highlights Challenges Recommendations – issues for discussion. PFTAC - overview.

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Outline

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  1. 4th Regional Conference of Heads of Statistics and Planning,Noumea, July 22 – 26, 2013PFTAC/IMF report on production of agreed core set of economic statistics

  2. Outline Presentation of PFTAC Achievements/Highlights Challenges Recommendations – issues for discussion

  3. PFTAC - overview • Pacific Financial Technical Assistance Center (PFTAC) is one of the IMF’s 9 regional technical assistance (TA) centers • Collaborative venture between IMF, recipient countries, and bilateral and multilateral donors • Improve economic management and sustainable economic growth across the PICs

  4. PFTAC - overview Cook Islands, Fiji, Kiribati, Marshall Islands, Federated States of Micronesia, Nauru, Niue, Palau, Papua New Guinea, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu and Vanuatu as well as Timor-Leste

  5. PFTAC TA PFTAC’s support to PIC’s statistics takes place in the context of the TYPSS Mainly for national accounts (2nd advisor started in 2012) but also external sector statistics Coordination with SPC and ABS TA in NA provided to all PFTAC countries except Tuvalu, Nauru, Niue, PNG and Tokelau

  6. IMF HQ support With PFTAC, IMF combines strategic advice from its Headquarters (HQ) with local expertise and on-the-ground capacity building TA integrated with core lending and surveillance operations of the IMF

  7. IMF HQ support • IMF HQ has significantly stepped up its statistical TA to the Pacific: • external sector statistics (ESS) • government finance statistics (GFS) • General data dissemination system (GDDS) • International Comparison Program coordinated by ABS

  8. External Sector Statistics (ESS) Improve accuracy, availability, comparability, and timeliness of ESS for selected countries One advisor stationed in Fiji Ongoing workshop on practical aspects of international investment position (IIP) statistics and external debt statistics (EDS) during 15-25 July

  9. Government Finance Statistics (GFS) Assist Asia Pacific countries to migrate their fiscal statistics to standards embodied in the Government Finance Statistics 2001 One advisor stationed in HQ ABS-IMF joint course on GFS conducted in June 2013 with a focus on debt and aid statistics

  10. Capacity building High-quality technical advice is not sufficient to achieve results On-the-job training Regional workshops

  11. General Data Dissemination System (GDDS) Encourage member countries to improve data quality Provide a framework for evaluating needs for data improvement and setting priorities Guide in the dissemination to the public of comprehensive, timely, accessible, and reliable economic, financial, and socio-demographic statistics

  12. GDDS for NSOs • NSOs benefit by adopting the GDDS framework to systematically evaluate and improve their statistical systems in a comprehensive and prioritized way, across a broad range of data and statistical agencies.

  13. GDDS for users GDDS provides a valuable body of information regarding the state of statistical development and plans for improvement of participating countries Detailed metadata provide a tool to better assess the usefulness of the data for their own particular purposes

  14. GDDS for TA providers Valuable resource of information for bilateral and multilateral TA providers Tool to enhance cooperation between TA providers

  15. GDDS Internet site http://www.dsbb.imf.org/pages/gdds/home.aspx

  16. GDDS Internet site

  17. GDDS Internet site - NA

  18. GDDS Internet site - NA

  19. Achievements • Production of at least 2 independent measures of GDP to a high standard in 8 countries and improved quality of GDP measures in all countries: • Vanuatu published GDP E estimates by expenditure in 2012 • Methodology development of GDP E underway in Kiribati • Review of the existing methodology has started in Fiji, Palau and Timor-Leste.

  20. Achievements • Rebased constant price GDP estimates by production and by expenditures • Rebase from 2005 to 2008 prices almost completed in Fiji • Rebase 2005 to 2010 has started in Vanuatu and is expected to be finalized in early 2014 • Rebased annual and quarterly GDP estimates in Samoa implemented by a peripatetic advisor managed by Samoa Bureau of Statistics within an Institutional Strengthening Programme

  21. Achievements • Compilation of regular annual Gross National Income (GNI), Gross National Disposable Income (GNDI), saving and net lending/borrowing aggregates by at least eight member countries. GNI and GNDI: • Compiled for Palau, FSM and RMI by US-funded consultants • Compiled in Timor-Leste by a resident advisor • Kiribati compiles GNI and GNDI • Compiled in Tuvalu with TA from SPC

  22. Achievements • Production of quarterly national accounts (QNA) in four member countries. • Development of QNA estimates began in the Cook Islands during 2012 and is nearing completion. • The development of QNA estimates has also started in Fiji. • Samoa’s QNA methodology has been improved by the ISP consultant

  23. Achievements • Compilation of PPI and trade price indexes by four countries. • PFTAC contributed to the development of PPIs and redevelopment of export and import price indexes in Fiji. This development continued with IMF’s ICP project in January 2013 with a follow-up mission planned for August 2013 • PFTAC coordinated TA from the IMF on the development of a core inflation index in the Solomon Islands

  24. Achievements • Regular compilation of annual balance of payments estimates for countries that currently have irregular compilation and improvement in the coverage, quality and timeliness of current account estimates • ESS project started will improve balance of payments and IIP statistics as well as participation in the Quarterly External Debt Statistics (QEDS) and IMF Coordinated Direct Investment Survey (CDIS) databases

  25. Challenges 6 NSOs in the PICs comprise five or less staff Limited number of staff makes specialization of staff very difficult and increases reliance on external TA Insufficient resources require TA missions for regular compilation tasks which also limit methodological developments and capacity building

  26. Challenges Limited financial resources to collect good quality source data Compilers often rely on outdated source data combined with a limited number of indicators used to extrapolate time series Main source data used for national accounts statistics and ESS are existing administrative data.

  27. Challenges Microsoft Excel-based compilation systems are used in most NSOs In many PICs, there is no active policy in place to develop and maintain good data and metadata management practices Poor data management practices reduce efficiencies and significantly increase the business continuity risk

  28. Recommendations Administrative data are useful but data quality and concepts are not always fit for purpose Access to administrative data is sometimes hindered by legislative, technical or practical issues and NSOs should actively try to overcome these barriers with the relevant administrations

  29. Recommendations NSOs should engage with the statistical community to promote the use of economic statistics and the adoption of agreed statistical standards including classifications This would facilitate data sharing, consistency between data producers and improve efficiencies in the national statistical systems

  30. Recommendations • Household income and expenditure surveys (HIES) provide information for: • household final consumption expenditure (HFCE) • informal and subsistence sectors used in national accounts statistics • weights of the products included in the consumer price index (CPI)

  31. Recommendations HIES data should be used with business survey or population census data, to derive benchmark years Periodic benchmarking enables reconciliation of extrapolated data with accurate and detailed but less frequent data Periodic benchmarking should be planned in the long term for better coordination of statistics developments

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