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Multidimensional Analysis of Deprivation and Fragility Patterns of Migrants in Lombardy, Using Partially Ordered Sets and Self-Organizing Maps

Author

Listed:
  • Alberto Arcagni

    () (University of Milano-Bicocca)

  • Elisa Barbiano di Belgiojoso

    (University of Milano-Bicocca)

  • Marco Fattore

    (University of Milano-Bicocca)

  • Stefania M. L. Rimoldi

    (University of Milano-Bicocca)

Abstract

In this paper, we present a multidimensional fuzzy analysis of the levels and the patterns of poverty and social fragility of migrants’ families, in the Italian region of Lombardy, in year 2014. Migrants’ poverty emerges as a complex trait, better described as a stratification of nuanced patterns than in black and white terms; Lombard migrants are in fact affected, to different extents, by “a diffused sharing of deprivation facets” and cannot be trivially split into deprived and non-deprived. The paper employs innovative data analysis tools from the Theory of Partially Ordered Sets; compared to mainstream monetary approaches, this leads to more realistic estimates of poverty diffusion and eliminates some well-known biases of standard evaluation procedures, providing strong support to the use of partial order concepts and tools in social evaluation studies.

Suggested Citation

  • Alberto Arcagni & Elisa Barbiano di Belgiojoso & Marco Fattore & Stefania M. L. Rimoldi, 2019. "Multidimensional Analysis of Deprivation and Fragility Patterns of Migrants in Lombardy, Using Partially Ordered Sets and Self-Organizing Maps," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(2), pages 551-579, January.
  • Handle: RePEc:spr:soinre:v:141:y:2019:i:2:d:10.1007_s11205-018-1856-9
    DOI: 10.1007/s11205-018-1856-9
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    References listed on IDEAS

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