Innocenti Working Papers

We rely on a unique pre-crisis baseline and five-year follow-up to investigate the effects of emergency school feeding and general food distribution (GFD) on children’s schooling during conflict in Mali. We estimate programme impact on child enrolment, absenteeism and attainment by combining difference in differences with propensity score matching. School feeding led to increases in enrolment by 11 percentage points and to about an additional half-year of completed schooling. Attendance among boys residing in households receiving GFD, however, declined by about 20 per cent over the comparison group. Disaggregating by conflict intensity showed that receipt of any programme led to rises in enrolment mostly in high-intensity conflict areas and that the negative effects of GFD on attendance were also concentrated in the most affected areas. Conversely, school feeding mostly raised attainment among children residing in areas not in the immediate vicinity of the conflict. Programme receipt triggered adjustments in child labour. Thus, school feeding led to lower participation and time spent in work among girls, while GFD raised children’s labour, particularly among boys. The educational implications of food assistance should be considered in planning humanitarian responses to bridge the gap between emergency assistance and development by promoting children’s education.

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.

This paper develops an econometric strategy to operationalize the United Nations Children’s Fund (UNICEF’s) conceptual framework for nutrition, estimating the effects on child stunting that additional investments in water, sanitation, and hygiene (WASH) intervention packages have across population groups (poor and non-poor) and residence (urban and rural). Moving away from estimating single intervention marginal returns, the empirical framework is tested in Tunisia; a country with notable but uneven progress in child nutrition. A successful reduction of stunting will involve mapping the distinctive most effective intervention packages by residence and socioeconomic status, moving away from universal policies.

The broad-ranging benefits of cash transfers are now widely recognized. However, the evidence base highlights that they often fall short in achieving longer-term and second-order impacts related to nutrition, learning outcomes and morbidity. In recognition of these limitations, several ‘cash plus’ initiatives have been introduced, whereby cash transfers are combined with one or more types of complementary support. This paper aims to identify key factors for successful implementation of these increasingly popular ‘cash plus’ programmes, based on (i) a review of the emerging evidence base of ‘cash plus’ interventions and (ii) an examination of three case studies, namely, Chile Solidario in Chile, IN-SCT in Ethiopia and LEAP in Ghana. The analysis was guided by a conceptual framework proposing a menu of ‘cash plus’ components. The assessment of three case studies indicated that effective implementation of ‘cash plus’ components has indeed contributed to greater impacts of the respective programmes. Such initiatives have thereby addressed some of the non-financial and structural barriers that poor people face and have reinforced the positive effects of cash transfer programmes. In design of such programmes, further attention should be paid to the constraints faced by the most vulnerable and how such constraints can be overcome. We conclude with recommendations regarding the provision of complementary support and cross-sectoral linkages based on lessons learned from the case studies. More research is still needed on the impact of the many variations of ‘cash plus’ programming, including evidence on the comparative roles of individual ‘plus’ components, as well as the knowledge, attitudes and behaviour pathways which influence these impacts.

Target 2.1 of the Sustainable Development Goals calls to end hunger, in all its forms, by 2030. Measuring food security among children under age 15, who represent a quarter of the world’s population, remains a challenge and is unfeasible for global monitoring. The SDG framework has agreed to use the Food Insecurity Experience Scale (FIES) to measure moderate and severe food insecurity. The FIES is an experience-based metric that reports food-related behaviours on the inability to access food due to resource constraints. We present the first global estimates of the share and number of children below age 15, who live with a respondent who is food insecure.

In an era of increasing dependence on data science and big data, the voices of one set of major stakeholders – the world’s children and those who advocate on their behalf – have been largely absent. A recent paper estimates one in three global internet users is a child, yet there has been little rigorous debate or understanding of how to adapt traditional, offline ethical standards for research involving data collection from children, to a big data, online environment (Livingstone et al., 2015). This paper argues that due to the potential for severe, long-lasting and differential impacts on children, child rights need to be firmly integrated onto the agendas of global debates about ethics and data science. The authors outline their rationale for a greater focus on child rights and ethics in data science and suggest steps to move forward, focusing on the various actors within the data chain including data generators, collectors, analysts and end-users. It concludes by calling for a much stronger appreciation of the links between child rights, ethics and data science disciplines and for enhanced discourse between stakeholders in the data chain, and those responsible for upholding the rights of children, globally.