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Cumulative deprivation: identification and aggregation

In: Research Handbook on Poverty and Inequality

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  • Koen Decancq

Abstract

This chapter discusses the recent literature on the identification and aggregation of cumulative deprivation. Individuals who occupy a low position on all well-being dimensions at the same time, are said to suffer from cumulative deprivation. For these individuals, disadvantages in one dimension are further reinforced by disadvantages in other dimensions. This chapter discusses how individuals who suffer from cumulative deprivation can be identified in a multidimensional data set and how aggregate measures of cumulative deprivation can be derived from the so-called cumulative deprivation curve. The core concepts are illustrated using the Belgian MEQIN data set, which was collected in 2016.

Suggested Citation

  • Koen Decancq, 2023. "Cumulative deprivation: identification and aggregation," Chapters, in: Udaya R. Wagle (ed.), Research Handbook on Poverty and Inequality, chapter 4, pages 52-67, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:20521_4
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    References listed on IDEAS

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    1. Koen Decancq, 2020. "Measuring cumulative deprivation and affluence based on the diagonal dependence diagram," METRON, Springer;Sapienza Università di Roma, vol. 78(2), pages 103-117, August.
    2. Kateryna Tkach & Chiara Gigliarano, 2018. "Multidimensional poverty measurement: dependence between well-being dimensions using copula function," 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. 72(3), pages 89-100, July-Sept.
    3. Koen Decancq, 2014. "Copula-based measurement of dependence between dimensions of well-being," Oxford Economic Papers, Oxford University Press, vol. 66(3), pages 681-701.
    4. Manuel Úbeda-Flores, 2005. "Multivariate versions of Blomqvist’s beta and Spearman’s footrule," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 57(4), pages 781-788, December.
    5. Anthony Atkinson, 2011. "On lateral thinking," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(3), pages 319-328, September.
    6. Atkinson, Tony & Cantillon, Bea & Marlier, Eric & Nolan, Brian, 2002. "Social Indicators: The EU and Social Inclusion," OUP Catalogue, Oxford University Press, number 9780199253494.
    7. Ann Mitchell & Jimena Macció, 2021. "Using Multidimensional Poverty Measures in Impact Evaluation: Emergency Housing and the “Declustering” of Disadvantage," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 22(3), pages 379-402, July.
    8. Bart Capéau & Laurens Cherchye & Koen Decancq & André Decoster & Bram De Rock & François Maniquet & Annemie Nys & Guillaume Périlleux & Eve Ramaekers & Zoé Rongé & Erik Schokkaert & Frederic Vermeulen, 2020. "Well-being in Belgium," Economic Studies in Inequality, Social Exclusion, and Well-Being, Springer, number 978-3-030-58509-9, Fall.
    9. Koen Decancq & María Ana Lugo, 2013. "Weights in Multidimensional Indices of Wellbeing: An Overview," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 7-34, January.
    10. César García‐Gómez & Ana Pérez & Mercedes Prieto‐Alaiz, 2021. "Copula‐based analysis of multivariate dependence patterns between dimensions of poverty in Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(1), pages 165-195, March.
    11. Casey Quinn, 2007. "Using copulas to measure association between ordinal measures of health and income," Health, Econometrics and Data Group (HEDG) Working Papers 07/24, HEDG, c/o Department of Economics, University of York.
    12. Kobus, Martyna & Kurek, Radosław, 2018. "Copula-based measurement of interdependence for discrete distributions," Journal of Mathematical Economics, Elsevier, vol. 79(C), pages 27-39.
    13. Quinn C, 2009. "Measuring income-related inequalities in health using a parametric dependence function," Health, Econometrics and Data Group (HEDG) Working Papers 09/24, HEDG, c/o Department of Economics, University of York.
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    Cited by:

    1. Giovanna Scarcilli, 2024. "Studying the evolution of cumulative deprivation among European countries with a copula-based approach," Working Papers 667, ECINEQ, Society for the Study of Economic Inequality.

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    More about this item

    Keywords

    Development Studies; Geography; Politics and Public Policy Sociology and Social Policy;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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