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A New Methodology for Comparative Analysis of Poverty in the Mediterranean: A Model for Differential Analysis of Poverty at A Regional Level

Author

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  • Carla Collicelli

    (CENSIS - Centro Studi Investimenti Sociali)

  • Massimiliano Valerii

Abstract

Over the last few decades, several studies have pointed out the multidimensional nature of poverty. Poverty suggests a hardship that is not solely confined to lack of the monetary resources necessary to maintain adequate living standards. The paper aims to propose a model for the differential analysis of poverty in the MENA countries through the Principal Components Analysis (PCA), in order to provide a correct definition of the different profiles of the phenomenon within different regional contexts. In the presence of complex phenomena, the peculiarity of PCA is to identify the main dimensions of the latent sense model, which determines the relationships between variables and indicators.

Suggested Citation

  • Carla Collicelli & Massimiliano Valerii, 2000. "A New Methodology for Comparative Analysis of Poverty in the Mediterranean: A Model for Differential Analysis of Poverty at A Regional Level," Working Papers 2023, Economic Research Forum, revised 08 Oct 2000.
    • Handle: RePEc:erg:wpaper:2023
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    References listed on IDEAS

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    1. Maasoumi, Esfandiar & Nickelsburg, Gerald, 1988. "Multivariate Measures of Well-Being and an Analysis of Inequality in the Michigan Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 326-334, July.
    2. Ram, Rati, 1982. "Composite indices of physical quality of life, basic needs fulfilment, and income : A principal component representation," Journal of Development Economics, Elsevier, vol. 11(2), pages 227-247, October.
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    Cited by:

    1. Burhan Can Karahasan & Fırat Bilgel, 2021. "The Topography and Sources of Multidimensional Poverty in Turkey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 413-445, April.

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