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Abstract

Evaluation of household or individual well-being is now widely accepted as a multi-attribute exercise. Far less agreement exists on such matters as which attributes to include, how such attributes are related and/or contribute to overall well-being, and what criteria to employ for complete (that is, index-based) ranking of well-being situations. Some degree of robustness may be sought through weak uniform rankings of states, as by stochastic dominance and related criteria. A useful starting point, both for the believers and non-believers in the multidimensional approach, is to see the traditional univariate assessments in the multiattribute setting: it is as though a weight of one is attached to a single attribute, typically income or consumption, and zero weights given to all other real and potential factors! Univariate approaches do not avoid, they rather impose very strong a priori values.

We thank the editors for their invitation to participate and for constructive input and reviews. This research was supported by funds from the Robert & Nancy Dedman Chair in Economics at SMU. Finally, we thank Kathleen Beegle and Jed Friedman for providing the adjusted expenditure data.

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References

  • Anand S., and A.K. Sen (2000) ‘The Income Component of the Human Development Index’, Journal of Human Development, 1 (1), 83–106.

    Article  Google Scholar 

  • Atkinson, A.B. (2003) ‘Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches’, Journal of Economic Inequality, 1 (1), 51–65.

    Article  Google Scholar 

  • Bibi, S. (2004) ‘Comparing Multidimensional Poverty between Egypt and Tunisia’. Paper presented at the CSAE Conference Growth, poverty reduction and human development in Africa, Oxford.

    Google Scholar 

  • Bourguignon, F. and S.R. Chakravarty (1999) ‘A Family of Multidimensional Poverty Measures’ in Slottje (ed.), Essays in Honor of Camilo Dagum. Heidelberg: Physica-Verlay, pp. 331–44.

    Google Scholar 

  • Bourguignon, F. and S.R. Chakravarty (2003) ‘The Measurement of Multidimensional Poverty’, Journal of Economic Inequality, 1 (1), 25–49.

    Article  Google Scholar 

  • D’Ambrosio, C., J. Deutsch and J. Silber (2004) ‘Multidimensional Approaches to Poverty Measurement: an Empirical Analysis of Poverty in Belgium, France, Germany, Italy and Spain based on the European Panel’. Presented at the 28th General Conference of The International Association for Research in Income and Wealth, 22–28 August, Cork, Ireland.

    Google Scholar 

  • Deutsch, J. and J. Silber (2005) ‘Measuring Multidimensional Poverty: An Empirical Comparison of Various Approaches’, Review of Income and Wealth, 51 (1), 145–74.

    Article  Google Scholar 

  • Duclos, J.-Y., D. Sahn and S. Younger (2003) ‘Robust Multidimensional Poverty Comparisons’, CIRPEE Working Paper No. 03–04, University of Laval, Cornell Univerisity, Food and Nutrition Policy Program and Cornell University — Food and Nutrition Policy Program.

    Google Scholar 

  • Ebrahimi, N., E. Maasoumi and E. Soofi (1999a) ‘Measuring Informativeness of Data by Entropy and Variance’, in Slottje (ed.), Essays in Honor of Camilo Dagum. Heidelberg: Physica.

    Google Scholar 

  • Ebrahimi, N., E. Maasoumi and E. Soofi (1999b) ‘Ordering Univariate Distributions by Entropy and Variance’, Journal of Econometrics, 90 (2), 317–36.

    Article  Google Scholar 

  • Foster, J., J. Greer and E. Thorbecke (1984) ‘A Class of Decomposable, Poverty Measures’, Econometrica, 52 (3), 761–6.

    Article  Google Scholar 

  • Kolm, S.-C. (1977) ‘Multidimensional Egalitarianism’, The Quarterly Journal of Economics, 91, 1–13.

    Article  Google Scholar 

  • Maasoumi, E. (1986) ‘The Measurement and Decomposition of Multi-dimensional Inequality’, Econometrica, 54, 991–7.

    Article  Google Scholar 

  • Maasoumi, E. (1993) ‘A Compendium to Information Theory in Economics and Econometrics’, Econometric Reviews, 12 (2), 137–82.

    Article  Google Scholar 

  • Maasoumi, E. (1999) ‘Multidimensional Approaches to Welfare Analysis’, in J. Silber (ed.), Handbook on Income Inequality Measurement. Dordrecht and Boston: Kluwer Academic Publishers.

    Google Scholar 

  • Miceli, D. (1997) ‘Mesure de la pauvreté. Théorie et Application à la Suisse’, Thèse de doctorat ès sciences économiques et sociale, Université de Genève.

    Google Scholar 

  • Sen, A. (1976) ‘Poverty: an Ordinal Approach to Measurement’, Econometrica, 52 (3), 761–6.

    Google Scholar 

  • Strauss, J., K. Beegle, B. Sikoki, A. Dwiyanto, Y. Herawati and F. Witoelar. (2004) ‘The Third Wave of the Indonesia Family Life Survey (IFLS3): Overview and Field Report’. WR-144/1-NIA/NICHD. March.

    Google Scholar 

  • Thomas, D. (2001) ‘Health, Nutrition, and Economics Prosperity: A Microeconomic Perspective’ CMH Working Paper Series, WG1 7.

    Google Scholar 

  • Thomas, D., E. Frankenberg, J. Friedman and others (2003) ‘Iron Deficiency and the Well-being of Older Adults: Early Results from a Randomized Nutrition Intervention’, unpublished.

    Google Scholar 

  • Thorbecke, E. (2005) ‘Multidimensional Poverty: Conceptual and Measurement issues’.Presented at the Conference The many dimensions of poverty, Brasilia, 29–31 August.

    Google Scholar 

  • Tsui, K-Y. (1995) ‘Multidimensional Generalizations of the Relative and Absolute Inequality Indices: The Atkinson–Kolm–Sen Approach’, Journal of Economic Theory, 67, 251–65.

    Article  Google Scholar 

  • Tsui, K-Y. (1999) ‘Multidimensional Inequality and Multidimensional Generalized Entropy Measures: an Axiomatic Derivation’, Social Choice and Welfare, 16, 145–5 7.

    Google Scholar 

  • Tsui, K-Y. (2002) ‘Multidimensional Poverty Indices’, Social Choice and Welfare, 19 (1), 69–93.

    Article  Google Scholar 

  • World Health Organization (2001) ‘Iron Deficiency Anaemia. Assessment, Prevention and Control: a Guide for Programme Managers’, WHO/NHD/01. 3.

    Google Scholar 

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© 2008 Palgrave Macmillan, a division of Macmillan Publishers Limited

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Maasoumi, E., Lugo, M.A. (2008). The Information Basis of Multivariate Poverty Assessments. In: Kakwani, N., Silber, J. (eds) Quantitative Approaches to Multidimensional Poverty Measurement. Palgrave Macmillan, London. https://doi.org/10.1057/9780230582354_1

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