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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)

English

OECD Composite Leading Indicators for G7 Countries

A Comparison of the Hodrick-Prescott Filter and the Multivariate Direct Filter Approach

We estimate the business-cycles of G7 countries, as defined by an ideal 2-10 year bandpass filter applied to country-specific GDP target series (GDP-BP). Since this target series cannot be observed in real-time, due to the symmetry of the bandpass filter, we analyze and compare the leading performances of the well-known HP-filter, as currently implemented in the OECD CLI’s, as well as of the Multivariate Direct Filter Approach (MDFA) relying on explanatory time series, as selected for current CLIs. The paper shows that efficiency gains by MDFA over HP are substantial along the full revision-sequence and they are consistent across countries as well as over time, when referenced against GDP-BP.

English

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