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Composite Leading Indicators and Growth Cycles in Major OECD Non-Member Economies and recently new OECD Members Countries

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  • Ronny Nilsson

    (OECD)

Abstract

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 Slovak Republic) and the major six OECD non-member economies (Brazil, China, India, Indonesia, Russian Federation and South Africa) monitored by the organization in the OECD System of Composite Leading Indicators. The expansion of the OECD System of Composite Leading Indicators to include the new CLIs for the six recently new OECD member countries has implications for the calculation of the OECD total area and the OECD Europe area aggregates. In addition, the inclusion of the new CLIs for all of above twelve countries opens the possibility to calculate new area aggregates such as Major Asian economies, Eastern Europe including or excluding the Russian Federation and a World proxy to give information on the overall global development. The importance of such new regional or area aggregates is of course very much dependent on the existence of different cyclical patterns between these new aggregates and the established ones. However, the calculation of a World proxy aggregate is important in itself in so far that it will represent global development better than the OECD total area aggregate. L'OCDE a développé un système d'indicateurs composites avancés (CLIs) pour ses pays membres au début des années 80 basé sur l'approche du cycle de croissance. Jusqu'en 2006, l'Organisation a compilé ces indicateurs composites avancés pour 23 de ses 30 pays membres. La couverture géographique s?est agrandie et tient compte maintenant des pays nouvellement membres de l'Organisation (la Corée, la Nouvelle Zélande, la République tchèque, la Hongrie, la Pologne et la République slovaque). Les six principales économies non membres de l'OCDE (le Brésil, la Chine, l'Inde, l'Indonésie, la Fédération de Russie et l'Afrique du Sud) ont été également introduites dans le système des indicateurs composites avancés de l'OCDE. L'ouverture des six nouveaux pays membres au système des indicateurs composites avancés de l'OCDE a eu des implications quant au calcul des agrégats de la zone OCDE total et de la zone OCDE Europe. De plus, l'inclusion de ces indicateurs composites avancés pour les 12 nouveaux pays su mentionnés ouvre la possibilité au calcul de nouveaux agrégats tels que l'Asie des 5 grands, l?Europe de l'Est avec ou sans la Fédération de Russie et une zone monde approximatif qui donnerait une information sur le développement global total. L'importance de tels nouveaux agrégats régionaux ou totaux dépend beaucoup de l'existence de schémas cycliques différents entre ces nouveaux agrégats et ceux déjà établis. Cependant, le calcul d'un agrégat monde approximatif est très important en soit car il représentera mieux le développement global que ne le faisait l'agrégat de la zone OCDE total.

Suggested Citation

  • Ronny Nilsson, 2006. "Composite Leading Indicators and Growth Cycles in Major OECD Non-Member Economies and recently new OECD Members Countries," OECD Statistics Working Papers 2006/5, OECD Publishing.
  • Handle: RePEc:oec:stdaaa:2006/5-en
    DOI: 10.1787/118143571177
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    Cited by:

    1. Krittika Banerjee, 2012. "Credit and Growth Cycles in India: An Empirical Assessment of the Lead and Lag Behaviour," Working Papers id:4699, eSocialSciences.
    2. Vladimir Dubrovskiy & Inna Golodniuk & Janusz Szyrmer, 2009. "Composite Leading Indicators for Ukraine: An Early Warning Model," CASE Network Reports 0085, CASE-Center for Social and Economic Research.
    3. Wegener, Christian & von Nitzsch, Rüdiger & Cengiz, Cetin, 2010. "An advanced perspective on the predictability in hedge fund returns," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2694-2708, November.
    4. Jeerawadee Pumjaroen & Preecha Vichitthamaros & Yuthana Sethapramote, 2020. "Forecasting Economic Cycle with a Structural Equation Model: Evidence from Thailand," International Journal of Economics and Financial Issues, Econjournals, vol. 10(3), pages 47-57.

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