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Alternative weighting structures for multidimensional poverty assessment

Author

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  • Cavapozzi, Danilo
  • Han, Wei
  • Miniaci, Raffaele

    (Groningen University)

Abstract

A multidimensional poverty assessment requires a weighting scheme to aggregate the well-being dimensions considered. We use Alkire and Foster

Suggested Citation

  • Cavapozzi, Danilo & Han, Wei & Miniaci, Raffaele, 2013. "Alternative weighting structures for multidimensional poverty assessment," Research Report 13018-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    • Handle: RePEc:gro:rugsom:13018-eef
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    Cited by:

    1. Svenja Flechtner, 2021. "Dimensions of Poverty. Measurement, Epistemic Injustices and Social Activism," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 530-544, June.
    2. Klasen, Stephan & Villalobos, Carlos, 2020. "Diverging identification of the poor: A non-random process. Chile 1992–2017," World Development, Elsevier, vol. 130(C).
    3. Carlos C. Bautista, 2018. "Explaining Multidimensional Poverty: A Household-Level Analysis," Asian Economic Papers, MIT Press, vol. 17(3), pages 183-210, Fall.
    4. Rolf Aaberge & Andrea Brandolini, 2014. "Multidimensional poverty and inequality," Discussion Papers 792, Statistics Norway, Research Department.
    5. Jesús Peiró-Palomino, 2019. "Regional well-being in the OECD," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 195-218, June.
    6. Philipp Poppitz, 2017. "Can subjective data improve inequality measurement? A multidimensional index of economic inequality," Working Papers 446, ECINEQ, Society for the Study of Economic Inequality.
    7. Martina Menon & Federico Perali & Eva Sierminska, 2017. "An Efficiency Comparison of Means Testing Tools: Money Metric or Counting Approach?," CHILD Working Papers Series 57 JEL Classification: D1, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
    8. Zsoka Koczan, 2022. "Perceptions of economic well‐being in the Western Balkans," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 30(4), pages 845-867, October.
    9. Philipp Poppitz, 2019. "Can Subjective Data Improve the Measurement of Inequality? A Multidimensional Index of Economic Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(3), pages 511-531, December.
    10. MENON Martina & PERALI Federico & SIERMINSKA Eva, 2016. "An Asset-based Indicator of Wellbeing for a Unified Means Testing Tool: Money Metric or Counting Approach?," LISER Working Paper Series 2016-09, Luxembourg Institute of Socio-Economic Research (LISER).
    11. Agar Brugiavini & Danilo Cavapozzi & Yao Pan, 2017. "Education gradient in well-being late in life: the case of China," Working Papers 2017:28, Department of Economics, University of Venice "Ca' Foscari".
    12. Dutta, Indranil & Nogales, Ricardo & Yalonetzky, Gaston, 2021. "Endogenous weights and multidimensional poverty: A cautionary tale," Journal of Development Economics, Elsevier, vol. 151(C).
    13. Danilo Cavapozzi & Wei Han & Raffaele Miniaci, 2015. "Alternative weighting structures for multidimensional poverty assessment," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(3), pages 425-447, September.
    14. Tomson Ogwang, 2022. "The regression approach to the measurement and decomposition of the multidimensional Watts poverty index," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(4), pages 951-973, December.
    15. Yadira Diaz, 2015. "Differences in needs and multidimensional deprivation measurement," Working Papers 387, ECINEQ, Society for the Study of Economic Inequality.

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