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Annual National Accounts
Purpose

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• Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa

Databases

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• Economics Department Analytical Database

Main Developments for 2013

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Quarterly Public Sector Debt

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Purpose

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The Public Sector Debt Statistics Database was launched in December 2010 and was initially focused on developing and emerging economies, and is now being expanded to the advanced economies. The launch of the database is one of the recommendations in the G-20 Data Gaps Initiative (Recommendation 18). This Initiative has been endorsed by G-20 Finance Ministers and Central Bank Governors and also by the IMF’s International Monetary and Financial Committee.

The request covers total general government and public sector debt, broken down by details on instruments, maturity, the residence of creditor, and currency. While data are generally recorded at nominal value, there is a supplementary item for data on debt securities to be shown at market value. Data are to be provided for the various institutional levels, specifically central government, general government, and, if possible, the public sector, where available.

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Objectives and outputs

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Collect detailed and comparable quarterly data on the General Government Debt, the Central Government Debt and more broadly the Public Sector Debt for all OECD countries.

Since January 2013, 33 OECD countries have provided detailed data on General and Central government debt. Russia participates in this initiative as well.

Non-member countries involved in the activity

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Argentina, Brazil, China, Hong Kong, India, Indonesia, Russian Federation, Saudi Arabia, Singapore, South Africa.

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Databases

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Quarterly Public Sector Debt (7PSD)

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Main Developments for 2013

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General aspects

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All OECD countries except Chile provide the OECD/WB/IMF with quarterly data on Public Sector Debt.

Eurostat participates in this initiative for some EU countries by prefilling the PSD questionnaire with Maastricht debt data.

National Accounts
Quarterly Sector Accounts (Financial part)

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Purpose

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To provide financial quarterly sector accounts data of member and non-member G20 countries for internal and external users.

The G20 Recommendation 15 has identified Sector accounts (annual and quarterly) as essential statistics to monitor economies.

The OECD is responsible for collecting and disseminating detailed quarterly sectoral accounts for OECD member countries and other non-member G20 countries.

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Objectives and outputs

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The collection of data relating to Quarterly financial accounts and quarterly financial balance sheets, launched in 2011, and stored in the new QASA browser, will continue in cooperation with ECB (for EU countries).

The aim is to better cover all OECD countries, including EU countries, and, when data are available, also key partner countries.

Non-member countries involved in the activity

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Brazil, China, India, Indonesia, Russian Federation, South Africa

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Databases

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Quarterly Financial Accounts and Financial Balance Sheets

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Main Developments for 2013

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General aspects

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Some improvement are expected regarding non-EU countries. For EU countries data, which are transmitted by the ECB once validated, it is hoped that pending problems will be rapidly solved.

Data collection

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It is expected to improve the coverage of this database (countries, sectors and instruments) and to solve issues relating to the ECB cooperation.

National Accounts
Quarterly Sector Accounts (Non-Financial part)

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Purpose

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To provide non-financial quarterly sector accounts data of member and non-member G20 countries for internal and external users.

The G20 Recommendation 15 identified Sector accounts as essential statistics to monitor economies.

The OECD is responsible for collecting and disseminating detailed quarterly sectoral accounts for OECD member countries and other non-member G20 countries.

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Objectives and outputs

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Continue to collect non-financial Quarterly Sector Accounts (QSA) data for EU countries in close collaboration with Eurostat; Collect non-EU QSA data through standard questionnaires.

Release publishable QSA data in OECD.stat and feed the IMF PGI- website with the G20 QSA data.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa

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Databases

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Non-financial Quarterly Sector Accounts

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Main Developments for 2013

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General aspects

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Continue collecting data from non-EU countries which have not yet transmitted data to the OECD through the standard questionnaire.

Extend the release of QSA data on OECD.Stat with new publishable data.

Continue to feed the IMF PGI-website with G20 QSA data.

National Accounts
STAN Input-Output database

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Purpose

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To provide a comprehensive database for cross country analyses of industrial structures, the interrelationships between consumers and producers, and the interactions between countries (e.g. as regards outsourcing and trade flows).

Objectives and outputs

The current OECD input-output database is based on detailed national accounts estimates of economic activity and interrelationships within economies. The database is based on an ISIC Rev.3 and is consistent with the latest system of national accounts (SNA93). Data for 33 OECD countries and 11 non-member countries are currently available, with latest data for many countries referring to 2005 with tables also available for most countries for 2000 or nearest year and for the mid-1990s.

Non-member countries involved in the activity

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Argentina, Brazil, Bulgaria, China, Chinese Taipei, Cyprus, India, Indonesia, Latvia, Lithuania, Malaysia, Malta, Other, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia Former, South Africa, Thailand

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Databases

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STAN Input-Output database

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Main Developments for 2013

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General aspects

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Expand the country coverage (e.g. non-OECD EU countries).

Use latest Supply-Use tables (SUTs) to produce harmonised I-O tables for 2008-09. especially for EU countries.

Continue to develop and improve the Inter-Country I-O (ICIO) model which combines the I-O tables, Supply-Use tables and bilateral trade by industry data to produce the key underlying source for production of Trade in Value Added (TiVA) indicators.