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A multidimensional approach to the measurement of poverty

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  • Costa, Michele

    (Department of Statistics, University of Bologna, Italy)

Abstract

By using fuzzy set theory a cross country multidimensional analysis of poverty is performed on the basis of ECHP data. A set of composite indicators is contructed in order to analyse different dimensions of poverty. For each indicator is calculated an unidimensional poverty ratio, thus allowing a comparison among countries and indicators on the dimensions of poverty. Finally, for each country a multidimensional poverty ratio is obtained.

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Bibliographic Info

Paper provided by IRISS at CEPS/INSTEAD in its series IRISS Working Paper Series with number 2002-05.

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Date of creation: Dec 2002
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Handle: RePEc:irs:iriswp:2002-05

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References

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  1. Franco Peracchi, 2002. "The European Community Household Panel: A review," Empirical Economics, Springer, vol. 27(1), pages 63-90.
  2. repec:ese:iserwp:2002-32 is not listed on IDEAS
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Cited by:
  1. Kojo Appiah-Kubi & Edward Amanning-Ampomah & Christian Ahortor, 2007. "Multi-Dimensional Analysis of Poverty in Ghana Using Fuzzy Sets Theory," Working Papers PMMA 2007-21, PEP-PMMA.
  2. Elena Pirani, 2013. "Evaluating contemporary social exclusion in Europe: a hierarchical latent class approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 923-941, February.
  3. Diallo, Fatoumata Lamarana, 2010. "Analysing multidimensional poverty in Guinea: A fuzzy set approach," MERIT Working Papers 041, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  4. BILOA ESSIMI Jean Aristide, BEJA & CHAMENI NEMBUA Célestin, CNC & MIAMO WENDJI Clovis, MWC, 2012. "A subgroup decomposition of inequality of poverty in Cameroon," MPRA Paper 38141, University Library of Munich, Germany.
  5. Feubi Pamen, Eric Patrick & Gankou, Jean Marie & Emini, Arnault Christian, 2010. "Dynamique de la pauvreté non monétaire au Cameroun entre 2001 et 2007: analyse en correspondances multiples et tests de dominance stochastique
    [Dynamic of non monetary poverty in Cameroon between
    ," MPRA Paper 32701, University Library of Munich, Germany.
  6. Sudarno Sumarto & Daniel Suryadarma & Asep Suryahadi, 2006. "Predicting Consumption Poverty Using Non-consumption Indicators : Experiments Using Indonesian Data," Development Economics Working Papers 22542, East Asian Bureau of Economic Research.
  7. Finco, Marcus Vinicius Alves & Doppler, Werner, 0. "The Brazilian Program of Biodiesel and its ‘Pro-Poor’ Strategy: Reality or Dream? A Multi-Dimensional Measurement of Poverty using Fuzzy Sets," Quarterly Journal of International Agriculture, Humboldt-Universität zu Berlin, vol. 50.
  8. Costa, Michele, 2003. "A comparison between unidimensional and multidimensional approaches to the measurement of poverty," IRISS Working Paper Series 2003-02, IRISS at CEPS/INSTEAD.
  9. Biloa Essimi, Jean Aristide & Chameni Nembua, Celestin, 2011. "L’Inégalité de Pauvreté Au Cameroun : Une Analyse Empirique à L’aide de la décomposition en sous-groupes de Dagum
    [Inequality of poverty in Cameroon: A Dagum sub-group decomposition analys
    ," MPRA Paper 32966, University Library of Munich, Germany.
  10. Cielito F. Habito, 2010. "Patterns of Inclusive Growth in Developing Asia: Insights from an Enhanced Growth-Poverty Elasticity Analysis," Working Papers id:3076, eSocialSciences.

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