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OECD. OCDE. ORGANISATION DE COOPÉRATION ET DE DEVELOPMENT ÉCONOMIQUES. Monitoring Progress on Implementation of the Manual and Assessing Data Quality. ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT. Bettina Wistrom OECD Statistics Directorate. STATISTICS DIRECTORATE –
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OECD OCDE ORGANISATION DE COOPÉRATION ET DE DEVELOPMENT ÉCONOMIQUES Monitoring Progress on Implementation of the Manual and Assessing Data Quality. ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT Bettina Wistrom OECD Statistics Directorate STATISTICS DIRECTORATE – INTERNATIONAL TRADE & STRUCTURAL ECONOMIC STATISTICS 1
Introduction • Pressing need from trade analysts and negotiators for more relevant, detailed data • Are we progressing ? How to monitor progress? • Suggested approach: • Look at core recommendations in Manual • Quality and comparability : 1)OECD quality framework, 2)multilateral and bilateral mirror data, 3)Methodological Soundness Questionnaire.
New Core Recommendations • Collect Balance of Payments (BOP) trade in services data • i) Using Extended Balance of Payments Services Classification (EBOPS) • ii) By partner country • Collect Foreign Affiliates Trade in Services (FATS) statistics for basic variables- sales, value added, employment, exports and imports • i) By activity (ICFA) • ii) By partner country N.B. Concept of modes of supply is fundamental but needs more statistical development
Balance of Payments Services • BOP trade in services data are relatively well established following IMF’s 5th Manual • Significant progressive improvements in detail and comparability since mid-nineties • Data collection by IMF/OECD/Eurostat currently being adapted to EBOPS classification • Partner country data published by Eurostat and (since 2002) by OECD • 2003 OECD partner country data cover 27 countries and 75% of world exports
Reporting of exports of ‘new’ BPM5 major services components by IMF countries
Foreign Affiliates Trade in Services (FATS) Statistics • FATS statistics are relatively underdeveloped compared with BOP • Data collection expanding at Eurostat, OECD and UNCTAD • OECD FATS statistics database covers 5 basic variables (sales, value added, employment, exports and imports) • Inward and outward FATS • By activity (not ICFA) • By partner First OECD publication of FATS statistics 2002, based on 1998 and 1999 surveys covers 20 countries in varying detail. 2003 survey to be published end 2004 expected to provide more information on a larger number of countries.
Number of EBOPS Country FATS inward FATS outward components reported No (but planned 2004 ) No (but planned end 2003 ) 1 Australia 48 Yes 2 Austria 22 Yes - 3 Belgium - Luxembourg 62 - Yes Belgium - Yes No Luxembourg - Yes 45 Yes 4 Canada No 75 No 5 Czech Republic Yes No 6 Denmark 4 Yes 52 Yes 7 Finland Yes 47 Yes 8 France Yes 58 Yes 9 Germany Yes 55 Yes 10 Greece No 20 No 11 Hungary Yes 26 No 12 Iceland No 41 No 13 Ireland Yes 62 No 14 Italy Yes 25 Yes 15 Japan Yes 16 No 16 Korea No 30 No 17 Mexico No 44 No 18 Netherlands Yes 29 No 19 New Zealand No 56 No 20 Norway Yes 62 No 21 Poland Yes 68 Yes 22 Portugal Yes 31 No 23 Slovak Republic No 53 No 24 Spain No 58 Yes 25 Sweden Yes 10 No 26 Switzerland No 20 No 27 Turkey Yes 46 No 28 United Kingdom Yes 29 United States 52 Yes Yes Current Situation of OECD Member Countries’ Development of EBOPS and FATS (May 2003)
Assessing Data Quality • Given difficulty of measurement – how to assess data quality? • OECD quality framework • Partner country mirror data – in principle there should be something very close to symmetry (note there are a few inherent conceptual asymmetries) • Provide a measure of comparability/monitored over time • Bilateral approach • Multilateral approach • Methodological Soundness Questionnaire (Launched by Eurostat –OECD 2003) will look at country approaches
OECD quality framework • Relevanceof data could be improved by a presentation by modes. • Accuracy and comparability monitored by using mirror statistics and asymmetry coefficients. • Timeliness closely linked to coherence in case of trade-in-services data. UNSD ITS database project could help on that. • Interpretability improved with metadata linked to data. • Room for improvement for accessibility.
Some selected examples of bilateral BOP services asymmetries
Some selected examples of multilateral BOP services asymmetries
Mirror data and asymmetry coefficients to identify irregularities • Monitor asymmetry indicators over time: -Highest/lowest discrepancies between reported flows and mirror data -Asymmetry coefficient negative/positive (i.e. relative under/overestimation of reported flows compared to mirror data.)
MethodologicalSoundness Questionnaire • OECD-Eurostat joint initiative sent out in June 2003 • 30 countries filled the questionnaire. • Results will be discussed with the experts first before being made more widely available. • Help to compare national practices and foster good practice.
Conclusions and Questions. • On the criteria outlined above significant progress is being made • Much progress (but not all) concentrated so far in OECD countries BOP Services, FATS and Partner Country Data • Is the approach outlined on data quality appropriate ? • Do we need to monitor any other aspect of country reporting ? • Any other comments ?