OECD Statistics Working Papers

1815-2031 (en ligne)
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The OECD Statistics Working Paper Series - managed by the OECD Statistics Directorate – is designed to make available in a timely fashion and to a wider readership selected studies prepared by 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. The Working Papers are generally available only in their original language - English or French - with a summary in the other.

Joint Working Paper

Measuring Well-being and Progress in Countries at Different Stages of Development: Towards a More Universal Conceptual Framework (with OECD Development Centre)

Measuring and Assessing Job Quality: The OECD Job Quality Framework (with OECD Directorate for Employment, Labour and Social Affairs)

Forecasting GDP during and after the Great Recession: A contest between small-scale bridge and large-scale dynamic factor models (with OECD Economics Directorate)

Decoupling of wages from productivity: Macro-level facts(with OECD Economics Directorate)


Working Party on Financial Statistics: Proceedings of the Workshop on Securitisation You or your institution have access to this content

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Michèle Chavoix-Mannato1
Author Affiliations
  • 1: OECD, France

13 oct 2011
Bibliographic information
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This Statistics Working Paper includes the documents that were presented during the various sessions of the Workshop on Securitisation, held in Madrid on 27-28 May 2010, as well as summaries at the beginning of each section. The Workshop brought together regular members of the Working Party on Financial Statistics (WPFS), statisticians, analysts, supervisors, experts from accounting standard-setting institutions and from International Organisations, and representatives from the industry and from international associations. It aimed at exchanging views so as to better understand securitisation from various angles and to help improve the completeness and the usefulness of future statistics...
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