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A multidimensional view on poverty in the European Union by partial order theory

Author

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  • Paola Annoni
  • Rainer Bruggemann
  • Lars Carlsen

Abstract

Poverty can be seen as a multidimensional phenomenon described by a set of indicators, the poverty components. A one-dimensional measure of poverty serving as a ranking index can be obtained by combining the component indicators via aggregation techniques. Ranking indices are thought of as supporting political decisions. This paper proposes an alternative to aggregation based on simple concepts of partial order theory and illustrates the pros and cons of this approach taking as case study a multidimensional measure of poverty comprising three components - absolute poverty, relative poverty and income - computed for the European Union regions. The analysis enables one to highlight conflicts across the components with some regions detected as controversial, with, for example, low levels of relative poverty and high levels of monetary poverty. The partial order approach enables one to point to the regions with the most severe data conflicts and to the component indicators that cause these conflicts.

Suggested Citation

  • Paola Annoni & Rainer Bruggemann & Lars Carlsen, 2015. "A multidimensional view on poverty in the European Union by partial order theory," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(3), pages 535-554, March.
  • Handle: RePEc:taf:japsta:v:42:y:2015:i:3:p:535-554
    DOI: 10.1080/02664763.2014.978269
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    Citations

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    Cited by:

    1. Arkadiusz Piwowar & Maciej Dzikuc, 2020. "Poverty and Social Exclusion: Is this a Problem in Rural Areas in the Visegrad Group Countries?," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 45-54.
    2. Paola Annoni & Manuela Scioni, 2022. "The Unbalance Penalisation Method for Metrics of Social Progress," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(3), pages 1093-1115, August.
    3. Rainer Bruggemann & Lars Carlsen, 2021. "Attempt to test impact values for multi-indicator systems—exemplified by gender equality," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 2219-2235, December.
    4. Guglielmo D'Amico & Riccardo De Blasis & Philippe Regnault, 2020. "Confidence sets for dynamic poverty indexes," Papers 2006.06595, arXiv.org.
    5. Lars Carlsen & Rainer Bruggemann, 2021. "Gender Equality in Europe: The Development of the Sustainable Development Goal No. 5 Illustrated by Exemplary Cases," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(3), pages 1127-1151, December.
    6. Lars Carlsen & Rainer Bruggemann & Marco Fattore, 2023. "Factors determining the degree of gender equality within the European Union," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1483-1499, April.
    7. Guglielmo D’Amico & Philippe Regnault, 2018. "Dynamic Measurement of Poverty: Modeling and Estimation," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(2), pages 305-340, November.
    8. Ida D’Attoma & Mariagiulia Matteucci, 2024. "Multidimensional poverty: an analysis of definitions, measurement tools, applications and their evolution over time through a systematic review of the literature up to 2019," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(4), pages 3171-3213, August.
    9. Tugce Beycan & B. P. Vani & Rainer Bruggemann & Christian Suter, 2019. "Ranking Karnataka Districts by the Multidimensional Poverty Index (MPI) and by Applying Simple Elements of Partial Order Theory," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 173-200, May.
    10. 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).
    11. Frauke Fuhrmann & Margit Scholl & Rainer Bruggemann, 2018. "How Can the Empowerment of Employees with Intellectual Disabilities Be Supported?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1269-1285, April.
    12. Katia Iglesias & Christian Suter & Tugce Beycan & B. P. Vani, 2017. "Exploring Multidimensional Well-Being in Switzerland: Comparing Three Synthesizing Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(3), pages 847-875, December.

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