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Lucia Ferrone

Former Consultant

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Lucia joined the Office of Research in November 2014, to work on Multidimensional Overlapping Deprivation Analysis (MODA) and child poverty, both in low and middle-income countries. She holds a Ph.D. in Development Economics, and her research interests lie in family and population economics, child well-being, and migration; she is also particularly interested in longitudinal analysis. She is a geek and a feminist, not necessarily in this order.
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PUBLICATIONS

This paper provides a framework for analyzing constraints that apply specifically to women, which theory suggests may have negative impacts on child outcomes (as well as on women). We classify women’s constraints into four dimensions: (i) low influence on household decisions, (ii) restrictions on mobility, (iii) domestic physical and psychological abuse, and (iv) limited information access. Each of these constraints are in principle determined within households. We test the impact of women’s constraints on child outcomes using nationally representative household Demographic and Health Survey data from India, including 53,030 mothers and 113,708 children, collected in 2015-16. We examine outcomes including nutrition, health, education, water quality, and sanitation. In our primary specification, outcomes are measured as multidimensional deprivations incorporating indicators for each of these deficiencies, utilizing a version of UNICEF’s Multidimensional Overlapping Deprivation Analysis index. We identify causal impacts using a Lewbel specification and present an array of additional econometric strategies and robustness checks. We find that children of women who are subjected to domestic abuse, have low influence in decision making, and limited freedom of mobility are consistently more likely to be deprived, measured both multidimensionally and with separate indicators.

AUTHOR(S)

Alberto Posso; Stephen C. Smith; Lucia Ferrone
LANGUAGES:

In this paper, we provide estimates and analysis of child multidimensional poverty in Mozambique. Drawing on data from the Mozambique Household Budget Survey of 2014/15 (IOF), we define child multidimensional poverty using the Multiple Overlapping Analysis (MODA). We define three age groups of children, and a total of seven dimensions of deprivation: Family, Nutrition, Education, Child labour, Health, WASH, Participation, and Housing. Results show that 81 per cent of children are deprived in at least two dimensions. Children are especially vulnerable in rural areas, where deprivation rates reach 95 per cent, and in the provinces of Niassa, Zambezia, and Cabo Delgado. The dimensions that more frequently overlap in Mozambique are Housing, Health, and WASH, with one third of children being deprived in these three dimensions at the same time. The data also allow the analysis of the interplay between monetary and multidimensional child poverty: 46 per cent of children suffer both forms of poverty. Children who are poor and deprived are children who live in rural areas, in more remote provinces; they live in households whose heads are less educated and whose main activity is agriculture. Finally, there is a direct correlation with shocks affecting the household and multidimensional poverty, with children of families who experienced weather shocks being more likely to be poor, deprived, or both.

AUTHOR(S)

Lucia Ferrone; Andrea Rossi; Zlata Bruckauf
LANGUAGES:

BLOG POSTS

Getting a clearer picture of child poverty in the Arab States (08 Mar 2018)

Poverty estimates are not frequently made, nor easy to access in the Arab States. Continued political instability combined with frequent hum ...

How to halve poverty in all its dimensions by 2030 (19 Oct 2017)

The way countries define poverty is going to matter for their probability of achieving Sustainable Development Goal 1, Target 1.2. It c ...

PODCASTS

Lucia Ferrone on Lessons from Harry Potter on Multidimensional Child Poverty