Composite Indices of Development and Poverty: An Application to MDGs |
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Authors: | Pasquale De Muro Matteo Mazziotta Adriano Pareto |
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Institution: | (1) University of ‘Roma Tre’, Rome, Italy;(2) Italian National Institute of Statistics, Rome, Italy |
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Abstract: | The measurement of development or poverty as multidimensional phenomena is very difficult because there are several theoretical,
methodological and empirical problems involved. The literature of composite indicators offers a wide variety of aggregation
methods, all with their pros and cons. In this paper, we propose a new, alternative composite index denoted as MPI (Mazziotta-Pareto
Index) which, starting from a linear aggregation, introduces penalties for the countries or geographical areas with ‘unbalanced’
values of the indicators. As an example of application of the MPI, we consider a set of indicators in order to measure the
Millennium Development Goals (MDGs) and we present a comparison between HDI (Human Development Index) methodology, HPI (Human
Poverty Index) methodology and MPI. |
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