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
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.
Globally, studies have demonstrated that children in every society are affected by physical, sexual and emotional violence. The drive to both quantify and qualify violence through data and research has been powerful: discourse among policy makers is shifting from “this does not happen here” to “what is driving this?” and “how can we address it?” To help answer these questions, the Multi-Country Study on the Drivers of Violence Affecting Children – conducted in Italy, Viet Nam, Peru and Zimbabwe – sought to disentangle the complex and often interrelated underlying causes of violence affecting children (VAC) in these four countries. Led by the UNICEF Office of Research – Innocenti with its academic partner, the University of Edinburgh, the Study was conducted by national research teams comprised of government, practitioners and academic researchers in each of the four countries.
Mary Catherine Maternowska; Alina Potts; Deborah Fry; Tabitha Casey
A recent strand of aid programming aims to develop household assets by removing the stresses associated with meeting basic nutritional needs. In this paper, we posit that such programmes can also boost nutrition in recipient households by encouraging further investment in diet. To test this hypothesis, we study the World Food Programme’s “Protracted Relief and Recovery Operation (PRRO)” in Niger, a conflict-affected, low income country with a high share of malnourishment. Under PRRO, a household could be in one of three groups at endline: receiving food aid to prevent malnutrition, receiving both preventive food aid and food for assets assistance, or receiving no assistance (the control group). When provided only by itself, the food aid has no nutritional impact, relative to receiving no assistance. However, we observe pronounced positive effects when preventive food aid is paired with assets-based programming, over and above what stems from greater household assets. We conclude, first, that certain forms of food aid function well in complex, insecure environments; second, that assets-based programmes deliver positive nutritional spillovers; and, third, that there are theoretical grounds to believe that asset-based programmes interact positively with more nutrition-focussed programming.
Tilman Brück; O.M. Dias Botia; N. T. N. Ferguson; J. Ouédraogo; Z. Ziegelhoefer
Fiscal incidence analysis is the most widely used methodology to assess the distributional effects of fiscal policies. However, for 40 years, it has lacked a child lens. A child focus on the redistributive capacity of fiscal policy is increasingly important due to the disproportionate incidence of poverty among children globally. This paper provides a child-dedicated focus on fiscal incidence analysis by tracking child-relevant benefits, turning children the unit of analysis, and using multidimensional child poverty metrics. The analysis—Commitment to Equity for Children, or CEQ4C—integrates three analytical frameworks, namely, public finance, fiscal incidence analysis, and multidimensional child poverty analysis. The paper develops a proof of concept for Uganda that includes measurement, diagnostics, and a policy simulation package replicable across diverse contexts. The proof of concept confirms that CEQ4C provides a higher-resolution fiscal incidence analysis for children than the traditional fiscal incidence analysis.
The Sustainable Development Goal (SDG) target 1.2 implies that both monetary and non-monetary or multidimensional (MD) child poverty would be measured and monitored, and that the associated indicators would be defined nationally. However, very few countries routinely measure child MD poverty.
Based on nationally representative data from the Armenian Integrated Living Conditions Survey 2013/14, the study finds that 64 per cent of children under 18 are deprived in 2 or more dimensions, with a substantially higher rate in rural than in urban areas. The highest rates of deprivation are in access to utilities, quality housing and leisure activities. More than one in four children are both multidimensionally deprived and live in consumption-poor households, while more than one in three are deprived but do not live in poor households.
Although child and adolescent inequalities are still less understood than those of adults, we have made progress in understanding the pathways that lead to negative outcomes and the limitations of some ‘adult-specific’ indicators as proxies of young people’s health and well-being. This paper aims to summarise relevant knowledge on the socio-economic causes of health inequalities in children.
An effective global monitoring system for child food insecurity is needed to increase awareness about the nature, extent, and distribution of child food insecurity, both within and across countries and regions, and over time. The effectiveness of a global monitoring system rests on two components: measurement of child food insecurity that reliably and accurately captures the phenomenon, and a vehicle for delivering that measurement to samples that support reliable and accurate inference to the populations of interest.
Maryah S. Fram; Jennifer Bernal; Edward A. Frongillo