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Alessandro Carraro


Alessandro is conducting research on child poverty with a particular focus on Multiple Overlapping Deprivation Analysis (MODA). His research interests lie in child poverty reduction, agricultural and rural development, climate change and smallholders’ food security in low- and middle-income countries. Alessandro is a quantitative researcher with 8 years of experience in applied agricultural and development economics. Prior to joining us he has worked for the Agricultural Development Economics Division of the Food and Agriculture Organization of the UN (FAO) and the Universities of Florence and Tor Vergata. Alessandro holds a PhD in Development Economics from the University of Florence, a MSc in Agricultural Sciences from the same University and a MSc in Agricultural Economics from the University of Reading in UK
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Acknowledging that health, economic, and social crises can rapidly become a crisis for children, this paper seeks to contribute evidence to understanding what the crisis means for children and for families with children in the countries of Southern and Eastern Europe and Central Asia. In particular, what governments and stakeholders should be looking for when seeking to protect children from the worst outcomes of the crisis. In doing so, this paper asks: Through which mechanisms can COVID-19 affect children in the region? What can we learn from previous crises about the potential effects on children and those who care for children? How is vulnerability to poverty and child well-being likely to be affected? Are initial government responses to the crisis likely to worsen or mitigate risks to children’s well-being? And how might future public policies be optimized in the short and medium term to protect child outcomes?

This research brief compares the properties of individual- and household-based multidimensional child poverty approaches. Specifically, it contrasts UNICEF’s Multiple Overlapping Deprivation Analysis (MODA) with the Global Multidimensional Poverty Index (MPI) developed by the Oxford Poverty and Human Development Initiative. MODA focuses on children and is rooted in the child rights approach, while MPI has been developed for households and follows Sen’s (1985) capabilities approach. We demonstrate their similarities and differences using two recent Multiple Indicator Cluster Surveys: Sierra Leone and Lao People’s Democratic Republic (PDR). The analysis suggests that MODA tends to produce higher multidimensional child poverty headcount rates than MPI, both because of the differences in the survey items used to construct the indicators of deprivation and because of how the indicators are aggregated and weighted.


Alessandro Carraro; Yekaterina Chzhen


Multidimensional child poverty

Generating quality evidence on multi-dimensional child poverty through Multiple Overlapping Deprivation Analysis (MODA).