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Annual National Accounts

Annual National Accounts. 1. Situation of OECD annual national accounts database 2. New features of the joint OECD-Eurostat questionnaire 3. COFOG2 Project 4. NAWWE Project Working Party on National Accounts 10-12 October 2006 ( Catherine La Rosa, Chantal Nicq, Nobuko Miyachiyo ).

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Annual National Accounts

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  1. Annual National Accounts 1. Situation of OECD annual national accounts database 2. New features of the joint OECD-Eurostat questionnaire 3. COFOG2 Project 4. NAWWE Project Working Party on National Accounts 10-12 October 2006 ( Catherine La Rosa, Chantal Nicq, Nobuko Miyachiyo )

  2. 1. Situation of OECD annual national accounts database • Joint OECD-Eurostat questionnaire for the transmission of data • Availability of data (see table pages 3-4) • Improvements in completeness, timeliness and coverage for tables 0101-0112. • Significant weakness: tables 1400 and 2000. • Dissemination of data (paper, CD-ROM and OLISnet) • Volume 1 Main aggregates - in January, free access on Internet for all users. • Volume 2 Detailed tables - in July – the electronic version covers, in addition, detailed non-financial accounts by sectors. Free access to officials via OLISnet, in OECD.STAT

  3. 1. Situation of OECD annual national accounts database (ctd) • Volume 4 General Government Accounts - in December –. Free access to officials via OLISnet, in OECD.STAT • Situation of the metadata transmission to the OECD • General government metadata • Employment metadata • Methodological changes • Different methodologies processed separately • Linkages of main aggregates • Example : Luxembourg GDP at current prices

  4. Situation of OECD annual national accounts database (ctd)

  5. 2. New features of the joint OECD-Eurostat questionnaire • Reorganisation – several of the tables 0101-0112 are merged. • Suppression and reduction • Tables 0113-0116, 0118, 0122-0127, 0119, 1400 are dropped • Table 0800: transactions and sector detail are reduced. • Extensions • Table 0301-0303: A60 breakdown (ISIC Rev.3 division) • Table 0302: GFCF in construction • Table 0303: additional employment breakdown by sector • Table 0501: full COICOP 3-digits for households • Table 1100: split between 1101 for GG and 1102 for sub sectors • Table 2000 and 2200: new cross-classification A17 (A60) x AN_F6

  6. Recommendations • Special effort should be made to supply tables on fixed assets. • Data should be transmitted on the day the data are released by Member country sna.contact@oecd.org • European Member countries are asked to send the questionnaire to both OECD and Eurostat at the same time. • sna.contact@oecd.org

  7. 3. The COFOG2 Project A reminder : extension of table 1100: • Strong demand in the European context for more disaggregated government expenditure data to improve the analysis of trends in the composition of government expenditure • Eurostat and the OECD agreed on extending table 1100 to the 2nd level of COFOG only for the level of general Government (S.13). • The OECD proposed to extend the project to non-EU countries

  8. The COFOG2 Project for non-EU countries • A questionnaire was sent to 8 non-EU countries last December. None of them seems able to transmit COFOG2 data in a near future. • Only Australia and the United States publish data which resemble the COFOG2 classification

  9. TheCOFOG II Project for EU countries • Up to now 15 countries transmitted data to Eurostat on the second level of COFOG • Many problems of classification still need to be solved. • Creation of an electronic discussion group and preparation of a manual on sources and methods for COFOG statistics compilation

  10. The COFOG2 Project • In 2006 OECD had to postpone the issue of the new Table 1101. • New meeting of the EU Task Force on COFOG scheduled next February. Hopefully preliminary data on COFOG2 will soon be made public. • The OECD is engaged in many studies on public expenditure efficiency which would really benefit from more disaggregated public expenditure data.

  11. National Accounts World Wide Exchange Technical Overview – Nobuko Miyachiyo (OECD) October 2006

  12. Rationale: Capitalise on Standards National Account standards exist already: • SNA93 defines a standard for national account statistical data. • NSOs submit data files in a standard coding and format. Data Dissemination standards exist already: • XML is the world standard for transmitting data between applications and organizations. • SDMX-ML is the XML standard for defining, transmitting, validating, and interpreting statistical data and metadata between organisations. NAWWE capitalises on these standards to: • Enhance national accounts data collection at the OECD. • Provide other international organisations access to the same data collection standards. • Facilitate data sharing and dissemination processes for NSOs.

  13. <?xml version="1.0" encoding="UTF-8"?> <xs:schema xmlns:xs="http:..XML"...> <xs:element name="Code"> <xs:complexType/> </xs:element>……. <?xml version="1.0"?> <GenericData> <Value>STRUCTURE</Value> </Data> …… <?xml version="1.0"?> <GenericData> <Value>STRUCTURE</Value> </Data> …… Process Checks for Updated XML Files <?xml version="1.0"?> <Genericdata> <Value>AUSTRALIA</Value> </Data> …… <?xml version="1.0"?> <GenericData> <Value>CANADA</Value> </Data> …… Architecture: Data Flow OECD Web Server Web Application SDMX V 2.0 XML Schemas XML Files Validated By Schema XML Files Navigation Structural XML <?xml version="1.0"?> <GenericData> <Value>CANADA</Value> </Data> …… Transformed XML Upload to ANA Database or Output to Other Format Data and Metadata Structure Definitions <?xml version="1.0"?> <GenericData> <Value>AUSTRALIA</Value> </Data> …… Cached Data XML XML Files Copied to Server Content XML Files Potential to reduce the number of steps for validating and loading of NSO data into OECD systems

  14. Prototype V1: Web Interface • Data selection criteria is driven from the Structural XML • Data content is driven from the copied NSO XML data files • Dimension criteria and countries can be combined for output

  15. NAWWE 2006: Status XML Schemas and Structure Files: • Data and Metadata structure definitions have been created based on SDMX-ML V 2.0 XML schemas. • Concepts included in the Metadata structure definition have been drawn from a draft version of the SDMX cross domain metadata concepts. Objectives of the Web Application: http://stats.oecd.org/nawwe/ • Generic loading of dimensions by interrogating data structure definition within structural XML. • Ability to transform selected data or whole data files into alternative formats (GESMES, Excel, CSV). • Tools to validate the quality of data and metadata (e.g. quantification of revision changes, missing information). NAWWE Technical Team: Nobuko Miyachiyo and Russell Penlington

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