Weights in Multidimensional Indices of Wellbeing: An Overview
Top Cited Papers
- 1 January 2013
- journal article
- research article
- Published by Taylor & Francis in Econometric Reviews
- Vol. 32 (1) , 7-34
- https://doi.org/10.1080/07474938.2012.690641
Abstract
Multidimensional indices are becoming increasingly important instruments to assess the wellbeing of societies. They move beyond the focus on a single indicator and yet they are easy to present and communicate. A crucial step in the construction of a multidimensional index of wellbeing is the selection of the relative weights for the different dimensions. The aim of this article is to study the role of these weights and to critically survey eight different approaches to set them. We categorize the approaches in three classes: data-driven, normative, and hybrid weighting, and compare their respective advantages and drawbacks.Keywords
All Related Versions
This publication has 67 references indexed in Scilit:
- International Comparisons of Living Standards by Equivalent Incomes*The Scandinavian Journal of Economics, 2009
- Comparing Multidimensional Indices of Inequality: methods and applicationPublished by Emerald Publishing ,2007
- A reassessment of the human development index via data envelopment analysisJournal of the Operational Research Society, 2005
- ON THE APPLICATION OF EFFICIENCY ANALYSIS TO THE STUDY OF THE DIMENSIONS OF HUMAN DEVELOPMENTReview of Income and Wealth, 2005
- MEASURING MULTIDIMENSIONAL POVERTY: AN EMPIRICAL COMPARISON OF VARIOUS APPROACHESReview of Income and Wealth, 2005
- Remeasuring the HDI by Data Envelopement AnalysisSSRN Electronic Journal, 2001
- Deprivation and Poverty: A Comparative Analysis of Sweden and Great BritainActa Sociologica, 1996
- Multivariate Measures of Well-Being and an Analysis of Inequality in the Michigan DataJournal of Business & Economic Statistics, 1988
- Analysis of Data from thePlaces Rated AlmanacThe American Statistician, 1987
- The analytic hierarchy process—what it is and how it is usedMathematical Modelling, 1987