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A Cluster Analysis of Multidimensional Poverty in Switzerland

In: Quantitative Approaches to Multidimensional Poverty Measurement

Author

Listed:
  • Giovanni Ferro Luzzi
  • Yves Flückiger
  • Sylvain Weber

Abstract

The basic notion that poverty should be measured on the basis of as large a number of components (attributes) as relevant and feasible has enjoyed increasing support in the literature. Since the seminal work of Townsend (1979), it has been recognized that other aspects of life not necessarily related to income can impair human development, such as the access to public goods, health, or education. Many authors have come up with new approaches to provide poverty measures which account for its multidimensionality while maintaining desirable properties (Bourguignon and Chakravarty, 1999, 2003; Atkinson, 2003). One main conceptual issue is how to count multidimensional poverty. In other words, is multidimensional poverty the accumulation of deprivation in various components of what is considered ‘normal life’ (the intersection approach) or should it be defined as the failure to access to at least one of the dimensions (the union approach)?

Suggested Citation

  • Giovanni Ferro Luzzi & Yves Flückiger & Sylvain Weber, 2008. "A Cluster Analysis of Multidimensional Poverty in Switzerland," Palgrave Macmillan Books, in: Nanak Kakwani & Jacques Silber (ed.), Quantitative Approaches to Multidimensional Poverty Measurement, chapter 4, pages 63-79, Palgrave Macmillan.
    • Handle: RePEc:pal:palchp:978-0-230-58235-4_4
    DOI: 10.1057/9780230582354_4
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    Citations

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    Cited by:

    1. Mario Lucchini & Christine Butti & Sara Della Bella & Angela Lisi, 2018. "The application of a topological clustering technique to capture forms and dynamics of deprivation in contemporary Switzerland," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 227-248, January.
    2. Germán Caruso & Walter Sosa-Escudero & Marcela Svarc, 2015. "Deprivation and the Dimensionality of Welfare: A Variable-Selection Cluster-Analysis Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(4), pages 702-722, December.
    3. Rosa Bernardini Papalia & Pinuccia Calia & Carlo Filippucci, 2015. "Information Theoretic Competitiveness Composite Indicator at Micro Level," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(2), pages 349-370, September.
    4. Gasparini, Leonardo & Sosa Escudero, Walter & Marchionni, Mariana & Olivieri, Sergio, 2008. "Income, Deprivation, and Perceptions in Latin America and the Caribbean: New Evidence from the Gallup World Poll," IDB Publications (Working Papers) 3248, Inter-American Development Bank.
    5. 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.
    6. Aysenur Acar, 2014. "The Dynamics of Multidimensional Poverty in Turkey," Working Papers 014, Bahcesehir University, Betam.
    7. Wendy Brau, 2022. "How multidimensional is welfare? A sparse principal components analysis," Young Researchers Working Papers 5, Universidad de San Andres, Departamento de Economia, revised Oct 2022.
    8. Agustín Alvarez & Marcela Svarc, 2021. "A variable selection procedure for depth measures," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(2), pages 247-271, June.

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