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Multidimensional Overlapping Deprivation Analysis (MODA)

MODA is a policy tool that can be used to identify and quantify child deprivation, and identify those suffering multiple and overlapping deprivations. A key contributor to the equity agenda, this new approach analyses data from Demographic and Health (DHS) and Multiple Indicator Cluster (MICS) surveys and other sources to allow a disaggregated description of child poverty and deprivation. The Cross-Country MODA initiative entails analyzing a standard set of deprivation indicators across 50 countries and placing these results in the interactive CC-MODA website for analysis by the public. Similarly to CC-MODA, EU-MODA compares the living conditions of children across the European Union member states, using harmonized data from the EU Statistics on Income and Living Conditions (EU-SILC).

The National MODA (N-MODA) initiative entails tailoring the MODA approach to country specific definitions of deprivation and providing more in-depth analysis appropriate for the country context, including inter-relationships with monetary poverty. Support is being provided to N-MODA in Laos, Mali, Senegal, Tunisia, and Madagascar and will continue to be extended to other countries throughout 2014 and beyond.

Publications

CC-MODA - Cross Country Multiple Overlapping Deprivation Analysis: Analysing Child Poverty and Deprivation in sub-Saharan Africa
Publication

CC-MODA - Cross Country Multiple Overlapping Deprivation Analysis: Analysing Child Poverty and Deprivation in sub-Saharan Africa

This paper brings together the results of multidimensional deprivation analyses for thirty countries in sub-Saharan Africa. As these thirty countries represent 78% of the total population in the region, the paper also tries to shed light on the incidence and depth of child poverty across sub-Saharan Africa as a whole.
Understanding Child Deprivation in the European Union: The Multiple Overlapping Deprivation Analysis (EU-Moda) Approach
Publication

Understanding Child Deprivation in the European Union: The Multiple Overlapping Deprivation Analysis (EU-Moda) Approach

This paper investigates child deprivation and its relationship to monetary child poverty in the European Union (EU) using the Multiple Overlapping Deprivation Analysis (MODA) methodology. MODA provides both a conceptual framework and a methodology to estimate the rates of monetary child poverty and multidimensional child deprivation, as well as the overlaps between these measures.
Multiple Overlapping Deprivation Analysis for the European Union (EU-MODA): Technical Note
Publication

Multiple Overlapping Deprivation Analysis for the European Union (EU-MODA): Technical Note

The Multiple Overlapping Deprivation Analysis for the European Union (EU-MODA) compares the material well-being of children across the EU member states, using data from the child material deprivation module of the European Union Statistics on Income and Living Conditions (EU-SILC) 2009.
Cross-Country MODA Study: Multiple Overlapping Deprivation Analysis (MODA). Technical Note
Publication

Cross-Country MODA Study: Multiple Overlapping Deprivation Analysis (MODA). Technical Note

This technical note refers to a special application of MODA, and applies a multidimensional deprivation analysis to a cross-country setting (CC-MODA). The CC-MODA study gives insights to child deprivation within and across countries, and provides an indication on who the multiply-deprived children are, where they live and what aspects of child well-being they are deprived of. This paper offers an in depth explanation of the technical decisions that have been made to obtain these results.
Step-by-Step Guidelines to the Multiple Overlapping Deprivation Analysis (MODA)
Publication

Step-by-Step Guidelines to the Multiple Overlapping Deprivation Analysis (MODA)

These guidelines present a detailed step-by-step procedure of how to carry out a multiple overlapping deprivation analysis. They aim at providing technical guidance by capturing lessons acquired from previous research, indicating the range of decisions to be made and the various risks each of the different choices may lead to.