1887

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

A Framework to Measure the Progress of Societies

Over the last three decades, a number of frameworks have been developed to promote and measure well-being, quality of life, human development and sustainable development. Some frameworks use a conceptual approach while others employ a consultative approach, and different initiatives to measure progress will require different frameworks. The aim of this paper is to present a proposed framework for measuring the progress of societies, and to compare it with other progress frameworks that are currently in use around the world. The framework does not aim to be definitive, but rather to suggest a common starting point that the authors believe is broad-based and flexible enough to be applied in many situations around the world. It is also the intention that the framework could be used to identify gaps in existing statistical standards and to guide work to fill these gaps.

English

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