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OECD Statistics Working Papers

The OECD Statistics Working Paper Series - managed by the OECD Statistics and Data 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 Papers:

Testing the evidence, how good are public sector responsiveness measures and how to improve them? (with OECD Public Governance Directorate)

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)

Which policies increase value for money in health care? (with OECD Directorate for Employment, Labour and Social Affairs)

Compiling mineral and energy resource accounts according to the System of Environmental-Economic Accounting (SEEA) 2012 (with OECD Environment Directorate)

Anglais

New Understanding and Insights from Time-Series Data Based on Two Generic Measures

S-Time-Distance and S-Time-Step

La distance temporelle est une approche novatrice pour analyser des séries temporelles. Exprimé en unités de temps, l'approche est facile à comprendre et fournit un complément utile aux méthodes existantes. Cette approche compare les séries chronologiques dans la dimension horizontale, c'est-à-dire pour un niveau donné de la variable, basé sur deux mesures statistiques génériques: S-time distance et S-time step. Ces mesures sont basées sur une matrice de temps qui résume l'information sur de nombreuses unités et années, et qui fournit un outil de visualisation de première lecture. Le document introduit aussi le concept de «degré total de disparité», défini comme la proximité dans l'espace ainsi que dans le temps, arguant que ce concept a le potentiel pour apporter une nouvelle compréhension en économie, gestion, et statistiques.

Anglais

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