Working Papers


  • 25-May-2007

    English

    Current period performance of OECD Composite Leading Indicators (CLIs) - Revision analysis of CLIs for OECD Member countries

    Statistics Working Paper N. 21 - 2007/1 - This paper presents a comprehensive analysis of the current period performance of the OECD composite leading indicators (CLIs) for 21 OECD Member countries and three zone aggregates (OECD area, Euro area and Major Seven countries) for which CLIs are available for a longer time period. The revisions analysis of OECD CLIs is similar to those recently undertaken by the Organisation for a range of

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  • 15-February-2007

    English

    Composite leading indicators and growth cycles in major OECD non-member economies and recently new OECD member countries

    Statistics Working Paper N. 20 - 2006/5 - The OECD developed a System of Composite Leading Indicators (CLIs) for its member countries in the early 1980.s based on the "growth cycle" approach and up to 2006 the Organisation compiled composite leading indicators for 23 of the 30 Member countries. Country coverage has now been expanded to include recently new OECD member countries (Korea, New Zealand1, Czech Republic, Hungary, Poland and

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  • 29-November-2006

    English

    The international comparability of business start-up rates

    Statistics working paper N. 19 - 2006/4 - This paper is designed to make available in a timely fashion and to a wider readership selected studies prepared by the staff in the Secretariat or by outside consultants working on OECD projects. The papers included are of a technical, methodological or statistical policy nature and relate to statistical work relevant to the organisation.

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  • 8-November-2006

    English

    A proposed framework for business demography statistics

    Statistics Working Paper N. 18 - 2006/3. The creation of new businesses and the decline of unproductive ones are often regarded key to business dynamism in OECD economies. Understanding business behaviour, creative destruction and identifying successful and failing businesses, as well as fostering entrepreneurship and innovation, have become increasingly important objectives for policy makers in many OECD economies in recent years.

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  • 14-September-2006

    English

    Undertaking revisions and real-time data analysis using the OECD Main Economic Indicators original release data and revisions database

    Statistics Working Paper N. 17 - 2006/2 presents results from comprehensive revisions analysis and real-time data analysis using the OECD Original Release Data and Revisions Database. Studies for GDP, Index of Industrial Production and Retail trade volume.

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  • 26-January-2006

    English

    Composite Leading Indicators for Major OECD Non-Member Economies: Brazil, China, India, Indonesia, Russian Federation and South Africa

    Statistics Working Paper N. 16 - 2006/1. The OECD developed a System of Composite Leading indicators for its Member countries in the early 1980s based on the .growth cycle. approach. Today the OECD compiles composite leading indicators (CLIs) for 23 of its 30 member countries and it is envisaged to expand country coverage to include all Member countries and the major six OECD non-member economies (NMEs) monitored by the organisation

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  • 22-December-2005

    English

    Improving Timeliness for Short-Term Economic Statistics

    Statistics Working Paper N. 15 - 2005/5. Effective business cycle analysis, and indeed the monitoring of a country’s economic performance from a policy perspective, requires access to timely high quality short-term economic statistics (STES). Consequently in recent years there has been a lot of pressure on national statistics organisations (NSOs) to better serve their users by improving the timeliness of release for their short-term

  • 17-August-2005

    English

    ICT and Economic Growth: A Quantification of Productivity Growth in Spain 1985-2002

    Statistics Working Paper N. 14 - 2005/4. Using new sectoral data on investment and capital services we carry out a growth accounting exercise on Spain 1985-2002. We compute the contribution to output and labour productivity growth of employment, non-ICT and ICT capital, labour qualification and Total Factor Productivity. Results are given for 29 different branches; individually and grouped into four clusters according to their ICT

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