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Lost (in) dimensions

29 May 2014

Identifying, locating and profiling the poor and deprived individuals in a society are the most basic imperatives for good social policy design. Understanding why people are - and remain - poor is the next analytical step. Multidimensional poverty and deprivation estimates are important new tools in this undertaking. This paper reviews the insights of various contributions from research into multidimensional poverty and deprivation and combines them into an internally consistent framework. The framework adds an important element by emphasising that people may experience various types and forms of poverty and deprivation simultaneously. The experience of poverty is often multifaceted and deprivations are interrelated in many cases. This highlights the necessity to clearly separate the different concepts of poverty and to study their overlap. The proposed framework aims at creating more conceptual clarity and overcoming the challenges that have arisen from some earlier efforts; the main challenge is to avoid "getting lost in (a multitude of) dimensions" when carrying out a series of single-dimensional analyses, and avoiding the "loss of dimensions" when reducing multiple dimensions into a multidimensional poverty index. The paper also makes a distinction between household poverty and child poverty, recognising that children may experience poverty differently to adults and that people's needs differ depending on their age. By articulating key decisions which are made throughout the multidimensional poverty analysis this paper intends to create a more informed understanding of multidimensional poverty analysis for children.
health economics economy poverty research united nations basic needs ethics income mathematics philosophy prices human development index poor price multidimensional poverty child well-being child poverty social exclusion researchers values society poverty overlaps monetary poverty poverty threshold poverty line poor children capability approach dimensional analysis multiple indicator cluster surveys

Authors

Neubourg, Chris de, Milliano, Marlous De, Plavgo, Ilze

Pages
34
Published in
Ottawa, Ontario

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