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

Author

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  • 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.

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  • 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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    Cited by:

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    3. Arcagni, Alberto & Avellone, Alessandro & Fattore, Marco, 2022. "Complexity reduction and approximation of multidomain systems of partially ordered data," Computational Statistics & Data Analysis, Elsevier, vol. 173(C).
    4. Alberto Arcagni & Laura Cavalli & Marco Fattore, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," Working Papers 2021.01, Fondazione Eni Enrico Mattei.
    5. Arcagni, Alberto & Cavalli, Laura & Fattore, Marco, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," FEEM Working Papers 309036, Fondazione Eni Enrico Mattei (FEEM).
    6. Suman Seth & Maria Emma Santos, 2019. "On the Interaction Between Focus and Distributional Properties in Multidimensional Poverty Measurement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 503-521, September.
    7. Stefania M. L. Rimoldi & Alberto Arcagni & Marco Fattore & Elisa Barbiano di Belgiojoso, 2021. "Targeting Policies for Multidimensional Poverty and Social Fragility Relief Among Migrants in Italy, Using F-FOD Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 57-75, August.
    8. Fattore, Marco & Alaimo, Leonardo Salvatore, 2023. "A partial order toolbox for building synthetic indicators of sustainability with ordinal data," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    9. Alaimo, Leonardo Salvatore & Fiore, Mariantonietta & Galati, Antonino, 2022. "Measuring consumers’ level of satisfaction for online food shopping during COVID-19 in Italy using POSETs," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    10. Flavio Comim, 2021. "A Poset-Generalizability Method for Human Development Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(3), pages 1179-1198, December.
    11. Filippo Damiani & Paula Rodríguez-Modroño, 2024. "Measuring the digital inclusion of women: a poset-based approach to the women in digital scoreboard," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 705-722, February.
    12. Di Zhou & Kuangyuan Cai & Shaojun Zhong, 2021. "A Statistical Measurement of Poverty Reduction Effectiveness: Using China as an Example," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 39-64, January.
    13. Kateryna Tkach & Chiara Gigliarano, 2022. "Multidimensional Poverty Index with Dependence-Based Weights," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 843-872, June.
    14. Leonardo Salvatore Alaimo & Alberto Arcagni & Marco Fattore & Filomena Maggino, 2021. "Synthesis of Multi-indicator System Over Time: A Poset-based Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 77-99, August.
    15. Alaimo, Leonardo Salvatore & Ivaldi, Enrico & Landi, Stefano & Maggino, Filomena, 2022. "Measuring and evaluating socio-economic inequality in small areas: An application to the urban units of the Municipality of Genoa," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    16. Margaret Antonicelli & Filomena Maggino & Michele Rubino, 2021. "Sustainability and non-financial disclosure: a POSET�s approach," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 75(4), pages 130-140, October-D.
    17. Ahmad Mohd Khalid & Seema Sharma & Amlendu Kumar Dubey, 2020. "Data Gap Analysis, Indicator Selection and Index Development: A Case for Developing Economies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(3), pages 893-960, April.

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