Publications

There is increasing interest in understanding if social protection has the ability to foster social cohesion, particularly between refugees and host communities. Using an experimental evaluation of transfers, including cash, food and food vouchers to Colombian refugees and poor Ecuadorians in urban and peri-urban areas we examine if transfers resulted in changes in social cohesion measures. The evaluation was a cluster-randomized control trial examining a short-term programme implemented over six months by the World Food Programme. We examine six aggregate dimensions of social cohesion, derived from 33 individual indicators, in addition to an overall index of social cohesion. Overall results suggest that the programme contributed to integration of Colombians in the hosting community through increases in personal agency, attitudes accepting diversity, confidence in institutions, and social participation. However, while having no impact for the Ecuadorian population. There were no negative impacts of the programme on indicators or domains analysed. Although we are not able to specifically identify mechanisms, we hypothesize that these impacts are driven by joint targeting, messaging around social inclusion and through interaction between nationalities at mandated monthly nutrition trainings.

The methods used to identify beneficiaries of programmes aiming to address persistent poverty and shocks are subject to frequent policy debates. Relying on panel data from Niger, this paper analyses the performance of different targeting methods that are widely used by development and humanitarian actors and explores how they can be applied as part of an adaptive social protection (ASP) system. The methods include proxy-means testing (PMT), household economy analysis (HEA), geographical targeting, and combined methods. Results show that PMT performs better in identifying persistently poor households, while HEA performs better in identifying transiently food insecure households. Geographical targeting is particularly efficient in responding to food crises, which tend to be largely covariate in nature. Combinations of geographical, PMT, and HEA approaches may be used as part of an efficient and scalable ASP system. Results motivate the consolidation of data across programmes, which can support the application of alternative targeting methods tailored to programme-specific objectives.

The productive impacts of transfer programmes have received increased attention. However, little is known about such effects in emergency and crisis settings. Even less is known about whether transfer type – a food basket or a cash grant – influences the productive potential of such transfers. Theory suggests that, while cash transfers can relieve liquidity constraints associated with investments, subsidized food provision, by acting as a form of insurance, may prevent households from retreating to conservative income-generating strategies during volatile periods. Using a randomized field experiment in Yemen, we contrast the effects of transfer modality. The results demonstrate a modest productive impact of both modalities and suggest a role for both liquidity and price risk channels. Cash transfer recipients invested relatively more in activities with higher liquidity requirements (livestock), while food recipients incorporated higher-return crops into their agricultural portfolios.

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.

There is increasing evidence that cash transfer (CT) programs decrease intimate partner violence (IPV); however, little is known about how CTs achieve this impact. We conducted a mixed method review of studies in low- and middle-income countries. Fourteen quantitative and nine qualitative studies met our inclusion criteria, of which eleven and six respectively demonstrated evidence that CTs decrease IPV. We found little support for increases in IPV, with only two studies showing overall mixed or adverse impacts. Drawing on these studies, as well as related bodies of evidence, we developed a program theory proposing three pathways through which CT could impact IPV: 1) Economic security and emotional wellbeing, 2) intra-household conflict, and 3) women’s empowerment. The economic security and wellbeing pathway hypothesizes decreases in IPV, while the other two pathways have ambiguous effects depending on program design features and behavioural responses to program components. Future studies should improve IPV measurement, empirical analysis of program mechanisms, and fill regional gaps. Program framing and complementary activities, including those with the ability to shift intra-household power relations are likely to be important design features for understanding how to maximize and leverage the impact of CTs for reducing IPV, and mitigating potential adverse impacts.

A pre-post study examining the effectiveness of a parenting support programme in the Eastern Cape, South Africa, showed reductions in child abuse, child delinquency, parent and child depression, parenting stress and substance use. It also showed improvements in parental supervision, positive parenting and social support. In addition to the pre-post study, a qualitative enquiry was conducted with the programme facilitators. This paper explores the experiences and perception of local child and youth care workers, who were trained to deliver the parenting programme in vulnerable, semi-rural communities. The purpose of this publication is to make recommendations on how to improve the programme for scale-up, in South Africa and beyond.

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 rise of social protection into the limelight of social policy has opened up space for understanding how it can act as a key interface between states and citizens. This paper rethinks social protection through the lens of citizenship. It considers how the design and implementation of social protection can be shifted away from discretionary and technocratic forms, to forms which stimulate vulnerable citizens to make justice-based claims for their rights and demand accountability for the realization of those rights. It puts forward a conceptual framework for social protection with three modalities through which citizens can be engaged: as shapers and makers; as users and choosers; and as passive consumers.

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.

 

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.

The new universal Sustainable Development Goals (SDGs) call for “reducing at least by half the proportion of men, women and children of all ages living in poverty in all its dimensions according to national definitions” by 2030. Since few European Union (EU) countries have an official national multidimensional poverty measure for monitoring progress towards the SDGs, this paper proposes and evaluates a child-specific multidimensional poverty measure using data from ad hoc material deprivation modules of the European Union Statistics on Income and Living Conditions (EU-SILC) 2009 and 2014. The proposed measure can be used both for national and EU-wide SDG monitoring without replacing either national or EU-wide indices of material deprivation. Comparing child multidimensional poverty rates between 2009 and 2014, the paper ranks EU countries based on the 2014 headcount rates and changes over time.

A revised version of this working paper has been published in the Journal of Poverty and Social Justice

Target 2.1 of the Sustainable Development Goals calls for an end to hunger, in all its forms, by 2030. Measuring food security among children under age 5, who represent a quarter of the world’s population, remains a challenge that is largely unfeasible for current global monitoring systems. 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.