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Multidimensional Poverty Measures from an Information Theory Perspective

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  • Maria Ana Lugo

Abstract

This paper proposes to use an information theory approach to the design of multidimensional poverty indices. Traditional monetary approaches to poverty rely on the strong assumption that all relevant attributes of well-being are perfectly substitutable. Based on the idea of the essentiality of some attributes, scholars have recently suggested multidimensional poverty indices where the existence of a trade-off between attributes is relevant only for individuals who are below a poverty threshold in all of them (Bourguignon and Chakravarty 2003, Tsui 2002). The present paper proposes a method which encompasses both approaches and, moreover, it opens the door to an intermediate position which allows, to a certain extent, for substitution of attributes even in the case in which one or more (but not all) dimensions are above the set threshold. An application using individual well-being data from Indonesian households in 2000 is presented in order to compare the results under the different approaches.

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Bibliographic Info

Paper provided by Queen Elizabeth House, University of Oxford in its series OPHI Working Papers with number ophiwp011.

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Date of creation: May 2008
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Handle: RePEc:qeh:ophiwp:ophiwp011

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References

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  1. Maria Ana Lugo, 2005. "Comparing Multidimensional Indices of Inequality: methods and application," Working Papers 14, ECINEQ, Society for the Study of Economic Inequality.
  2. Decancq, Koen & Decoster, André & Schokkaert, Erik, 2009. "The Evolution of World Inequality in Well-being," World Development, Elsevier, vol. 37(1), pages 11-25, January.
  3. Jean-Yves Duclos & David Sahn & Stephen D. Younger, 2005. "Robust Multidimensional Spatial Poverty Comparisons in Ghana, Madagascar, and Uganda," Cahiers de recherche 0528, CIRPEE.
  4. Joseph Deutsch & Jacques Silber, 2005. "Measuring Multidimensional Poverty: An Empirical Comparison Of Various Approaches," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(1), pages 145-174, 03.
  5. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-31.
  6. Jean-Yves Duclos & David Sahn & Stephen D. Younger, 2006. "Robust Multidimensional Poverty Comparisons with Discrete Indicators of Well-being," Cahiers de recherche 0628, CIRPEE.
  7. James E. Foster & Artyom A. Shneyerov, 1999. "A general class of additively decomposable inequality measures," Economic Theory, Springer, vol. 14(1), pages 89-111.
  8. Tsui Kai-Yuen, 1995. "Multidimensional Generalizations of the Relative and Absolute Inequality Indices: The Atkinson-Kolm-Sen Approach," Journal of Economic Theory, Elsevier, vol. 67(1), pages 251-265, October.
  9. Bourguignon, F. & Chakravarty, S.R., 1998. "The Measurement of Multidimensional Poverty," DELTA Working Papers 98-12, DELTA (Ecole normale supérieure).
  10. Bourguignon, F. & Chakravarty, S.R., 1998. "A Family of Multidimensional Poverty Measures," DELTA Working Papers 98-03, DELTA (Ecole normale supérieure).
  11. Jean-Yves Duclos & David E. Sahn & Stephen D. Younger, 2006. "Robust Multidimensional Poverty Comparisons," Economic Journal, Royal Economic Society, vol. 116(514), pages 943-968, October.
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  14. Stéphane Mussard & Michel Terraza & Françoise Seyte, 2003. "Decomposition of Gini and the generalized entropy inequality measures," Economics Bulletin, AccessEcon, vol. 4(7), pages 1-6.
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  18. Kai-yuen Tsui, 2002. "Multidimensional poverty indices," Social Choice and Welfare, Springer, vol. 19(1), pages 69-93.
  19. Conchita D'Ambrosio & Joseph Deutsch & Jacques Silber, 2009. "Multidimensional approaches to poverty measurement: an empirical analysis of poverty in Belgium, France, Germany, Italy and Spain, based on the European panel," Applied Economics, Taylor & Francis Journals, vol. 43(8), pages 951-961.
  20. Hirschberg, Joseph G. & Maasoumi, Esfandiar & Slottje, Daniel J., 1991. "Cluster analysis for measuring welfare and quality of life across countries," Journal of Econometrics, Elsevier, vol. 50(1-2), pages 131-150, October.
  21. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-25, April.
  22. Patricia Justino & Julie Litchfield & Yoko Niimi, 2004. "Multidimensional Inequality: An Empirial Application to Brazil," PRUS Working Papers 24, Poverty Research Unit at Sussex, University of Sussex.
  23. Sudhir Anand and Amartya Sen, 2000. "The Income Component of Human Development Index," Human Development Occasional Papers (1992-2007) HDOCPA-2000-01, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
  24. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
  25. repec:ebl:ecbull:v:4:y:2003:i:7:p:1-6 is not listed on IDEAS
  26. A. Atkinson, 2003. "Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches," Journal of Economic Inequality, Springer, vol. 1(1), pages 51-65, April.
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Citations

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Cited by:
  1. Joachim Merz & Tim Rathjen, 2011. "Zeit- und Einkommensarmut von Freien Berufen und Unternehmern," FFB-Discussionpaper 89, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
  2. Joachim Merz & Tim Rathjen, 2011. "Intensity of Time and Income Interdependent Multidimensional Poverty: Well-Being and Minimum 2DGAP – German Evidence," FFB-Discussionpaper 92, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
  3. Joachim Merz & Tim Rathjen, 2009. "Time and Income Poverty: An Interdependent Multidimensional Poverty Approach with German Time Use Diary Data," SOEPpapers on Multidisciplinary Panel Data Research 215, DIW Berlin, The German Socio-Economic Panel (SOEP).
  4. Belhadj, Besma, 2011. "New fuzzy indices of poverty by distinguishing three levels of poverty," Research in Economics, Elsevier, vol. 65(3), pages 221-231, September.
  5. Gaël Giraud & Cécile Renouard & Hélène L'Huillier & Raphaële De La Martinière & Camille Sutter, 2012. "Relational Capability: A Multidimensional Approach," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00827690, HAL.
  6. Joachim Merz & Bettina Scherg, 2013. "Polarization of Time and Income: A Multidimensional Approach with Well-Being Gap and Minimum 2DGAP ; German Evidence," SOEPpapers on Multidisciplinary Panel Data Research 574, DIW Berlin, The German Socio-Economic Panel (SOEP).
  7. Joachim Merz & Henning Stolze, 2010. "Kumulation von Querschnitten - Evaluierung alternativer Konzepte für die kumulierten laufenden Wirtschaftsrechnungen 1999 bis 2003 im Vergleich zur Einkommens- und Verbrauchsstichprobe 2003," FFB-Discussionpaper 85, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
  8. Esfandiar Maasoumi & Le Wang, 2013. "The Gender Earnings Gap: Measurement and Analysis," Emory Economics 1305, Department of Economics, Emory University (Atlanta).

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