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)


Measuring the Joint Distribution of Household's Income, Consumption and Wealth Using Nested Atkinson Measures

Following recommendations from the Stiglitz-Sen-Fitoussi Commission (2009), this paper proposes the use of a new methodology to measure the joint distribution of households. income, consumption and wealth. Based on a multidimensional extension of the Atkinson generalized mean framework, the paper justifies the application of this methodology based on a set of standard and acknowledged properties, proving that this is the sole methodology satisfying them all simultaneously. The derived multidimensional index has an intuitive structure, which allows evaluating the overall material conditions of households under different perspectives and with varying sensitivity to distributionnal issues. Under its general form, the index encompasses a class of sub-indices that impose various restrictions on its parameters; the paper discusses the extent to which different restrictions on parameters affect the multidimensional assessments of various population groups, and provides some empirical illustrations using those different specifications. The question addressed by the multidimensional measure presented here is whether the joint consideration of household income, consumption and wealth modifies substantially the picture of material living standards of different individuals and groups relative to the one provided by income alone. Based on the dataset used here, the paper provides strong evidence on the importance of such a multidimensional assessment.


Keywords: inequality, multidimensional measure, generalized mean, material conditions
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