L’approche MODA s’appuie sur des études antérieures portant sur la pauvreté multidimensionnelle et englobe un vaste ensemble d’outils, allant de l’incidence des privations unidimensionnelles via l’analyse des chevauchements multiples aux taux de privation multidimensionnelle et à...

Multiple Overlapping Deprivation Analysis (MODA) is a UNICEF methodology which provides a comprehensive approach to the multidimensional aspects of child poverty and deprivation. MODA builds on earlier multidimensional poverty studies and encompasses a large set of tools ranging from deprivation...

The paper focuses on child deprivation in Europe and studies the degree to which it is experienced by children in 29 countries using a child specific deprivation scale. The paper discusses the construction of a child deprivation scale and estimates a European Child Deprivation Index for the 29...

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...

L’analyse du chevauchement des privations multiples (MODA) est une méthodologie mise au point par l’UNICEF qui propose une approche globale des aspects multidimensionnels de la pauvreté et des privations des enfants. L’approche MODA s’appuie sur des études antérieures sur la...

Two short consumption modules were piloted in Bogra and Sirajganj (Bangladesh) in May-June 2012 as part of the Global MICS5 Pilot. This paper aims at validating this exercise and assessing the accuracy and reliability of the consumption estimates obtained. The use of a benchmark consumption...

Multiple Overlapping Deprivation Analysis (MODA) is a methodology developed by UNICEF which provides a comprehensive approach to the multidimensional aspects of child poverty and deprivation. MODA builds on earlier multidimensional poverty studies and encompasses a large set of tools ranging...