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)


Where is inclusive growth happening? Mapping multi-dimensional living standards in OECD regions

This paper applies the Inclusive Growth framework to the OECD Regional Well-being Database in order to compute multidimensional living standards (MDLS) among OECD regions from the early 2000s to 2012. MDLS are based on the equivalent income approach, where, for different income groups, the monetised value of health status and unemployment are added to disposable income and aggregated with a generalised mean function to allow inequality to be taken into account. Results highlight that, due to the spatial concentration of good and bad outcomes, regional disparities are amplified when observed through the lens of MDLS as opposed to income-based regional disparities. The paper also shows that people living in metropolitan regions experienced, on average, higher levels of MDLS but also a sharper decline during the economic crisis. Growth of MDLS in metropolitan regions during this period was characterised by a higher contribution of life expectancy and a lower contribution of income inequality with respect to the other regions.


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