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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Anand S., and A.K. Sen (2000) ‘The Income Component of the Human Development Index’, Journal of Human Development, 1 (1), 83–106.
Atkinson, A.B. (2003) ‘Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches’, Journal of Economic Inequality, 1 (1), 51–65.
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.
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.
Bourguignon, F. and S.R. Chakravarty (2003) ‘The Measurement of Multidimensional Poverty’, Journal of Economic Inequality, 1 (1), 25–49.
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.
Deutsch, J. and J. Silber (2005) ‘Measuring Multidimensional Poverty: An Empirical Comparison of Various Approaches’, Review of Income and Wealth, 51 (1), 145–74.
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.
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.
Ebrahimi, N., E. Maasoumi and E. Soofi (1999b) ‘Ordering Univariate Distributions by Entropy and Variance’, Journal of Econometrics, 90 (2), 317–36.
Foster, J., J. Greer and E. Thorbecke (1984) ‘A Class of Decomposable, Poverty Measures’, Econometrica, 52 (3), 761–6.
Kolm, S.-C. (1977) ‘Multidimensional Egalitarianism’, The Quarterly Journal of Economics, 91, 1–13.
Maasoumi, E. (1986) ‘The Measurement and Decomposition of Multi-dimensional Inequality’, Econometrica, 54, 991–7.
Maasoumi, E. (1993) ‘A Compendium to Information Theory in Economics and Econometrics’, Econometric Reviews, 12 (2), 137–82.
Maasoumi, E. (1999) ‘Multidimensional Approaches to Welfare Analysis’, in J. Silber (ed.), Handbook on Income Inequality Measurement. Dordrecht and Boston: Kluwer Academic Publishers.
Miceli, D. (1997) ‘Mesure de la pauvreté. Théorie et Application à la Suisse’, Thèse de doctorat ès sciences économiques et sociale, Université de Genève.
Sen, A. (1976) ‘Poverty: an Ordinal Approach to Measurement’, Econometrica, 52 (3), 761–6.
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.
Thomas, D. (2001) ‘Health, Nutrition, and Economics Prosperity: A Microeconomic Perspective’ CMH Working Paper Series, WG1 7.
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.
Thorbecke, E. (2005) ‘Multidimensional Poverty: Conceptual and Measurement issues’.Presented at the Conference The many dimensions of poverty, Brasilia, 29–31 August.
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.
Tsui, K-Y. (1999) ‘Multidimensional Inequality and Multidimensional Generalized Entropy Measures: an Axiomatic Derivation’, Social Choice and Welfare, 16, 145–5 7.
Tsui, K-Y. (2002) ‘Multidimensional Poverty Indices’, Social Choice and Welfare, 19 (1), 69–93.
World Health Organization (2001) ‘Iron Deficiency Anaemia. Assessment, Prevention and Control: a Guide for Programme Managers’, WHO/NHD/01. 3.
Editor information
Editors and Affiliations
Copyright information
© 2008 Palgrave Macmillan, a division of Macmillan Publishers Limited
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1057/9780230582354_1
Publisher Name: Palgrave Macmillan, London
Print ISBN: 978-1-349-28165-7
Online ISBN: 978-0-230-58235-4
eBook Packages: Palgrave Economics & Finance CollectionEconomics and Finance (R0)