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Multidimensional Deprivation Analysis

Multidimensional deprivation analysis is the broad family of methods for measuring and describing disadvantage across several dimensions at once — health, education, living standards, work, and more — rather than through income alone. It spans the counting approach championed by Anthony Atkinson and formalized by Sabina Alkire and James Foster, the dashboard tradition of reporting deprivation indicators side by side, fuzzy-set treatments that soften sharp thresholds, and overlap analysis that asks whether the same people are deprived in many dimensions. The unifying questions are how to decide who is deprived in each dimension, how to identify the multiply deprived, and whether to summarize deprivation in one index or display it as a panel of indicators.

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Източници

  1. Atkinson, A. B. (2003). Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches. Journal of Economic Inequality, 1(1), 51-65. DOI: 10.1023/A:1023903525276
  2. Alkire, S., & Foster, J. (2011). Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7-8), 476-487. DOI: 10.1016/j.jpubeco.2010.11.006

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ScholarGate. (2026, June 22). Multidimensional Deprivation Analysis (Counting and Dashboard Approaches). ScholarGate. https://scholargate.app/bg/development-studies/multidimensional-deprivation-analysis

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ScholarGateMultidimensional Deprivation Analysis (Multidimensional Deprivation Analysis (Counting and Dashboard Approaches)). Извлечено на 2026-06-24 от https://scholargate.app/bg/development-studies/multidimensional-deprivation-analysis · Набор от данни: https://doi.org/10.5281/zenodo.20539026