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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 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)

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

Improving Timeliness for Short-Term Economic Statistics

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 economic indicators. In response to this demand, NSOs have focused on improving the efficiency and methodology of their statistical production processes. So this begs the question: where would one look to find comprehensive documentation on good practices used by NSOs to improve the timeliness of their short-term economic statistics? The answer is the STES Timeliness Framework, a structured collection of documentation on a range of good practices currently used by NSOs for improving timeliness, reducing costs or improving accuracy for short-term economic statistics. This resource is freely available in the form of an intuitive, user friendly website developed by the OECD Short-Term Economic Statistics Expert Group at www.oecd.org/std/research/timeliness. This paper outlines the principles behind the development of this framework, explains its structure and reviews its current usage by statisticians.

English

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