Social Indicators Research
Volume 141, Issue 2, 2019, Pages 551-579

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

Arcagni A.* , Barbiano di Belgiojoso E. , Fattore M. , Rimoldi S.M.L.
  • a Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
  • b Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
  • c Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
  • d Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy

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. © 2018, Springer Science+Business Media B.V., part of Springer Nature.

Author Keywords

Migrants Fuzzy poverty Social fragility Multidimensional deprivation Partially ordered set

Index Keywords

estimation method immigrant fuzzy mathematics valuation Italy mapping poverty conceptual framework Lombardy
Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041897332&doi=10.1007%2fs11205-018-1856-9&partnerID=40&md5=98187d95cad55fb628a2c28d798220d0
DOI: 10.1007/s11205-018-1856-9
ISSN: 03038300
Cited by: 2
Original Language: English