Journal Articles

In spite of many positive trends that have emerged in the health of young people, adolescents from more affluent groups continue to experience more favourable health outcomes. There are no groups that are more vulnerable than those who report very poor (‘bottom-end’) indicators of health behaviour. The present study investigated the role of socio-economic factors as potential determinants of bottom-end health behaviours pertaining to physical activity and diet.

The relationship between happiness and income has been at the center of a vibrant debate, with both intrinsic and instrumental importance, as emotional states are an important determinant of health and social behavior. We investigate whether a government-run unconditional cash transfer paid directly to women in poor households had an impact on self-reported happiness. The evaluation was designed as a cluster-randomized controlled trial in rural Zambia across 90 communities. The program led to a 7.5 to 10 percentage point impact on women’s happiness after 36- and 48-months, respectively (or 0.19–0.25 standard deviations over the control group mean). In addition, women have higher overall satisfaction regarding their young children’s well-being, including indicators of satisfaction with their children’s health and positive outlook on their children’s future. Complementary analysis suggests that self-assessed relative poverty (as measured by comparison to other households in the community) is a more important mediator of program effects on happiness than absolute poverty (as measured by household consumption expenditures). Although typically not the focus of such evaluations, impacts on psychosocial indicators, including happiness, should not be discounted as important outcomes, as they capture different, non-material, holistic aspects of an individual’s overall level of well-being.

This analysis explores the determinants behind the unequal access to justice services among poor Indonesians. The study analyzes the stock of observed past disputes by socioeconomic group and the demand for conflict resolution services for unresolved conflicts or “trajectories.” It also models the hypothetical demand of justice services for future disputes. Results suggest that unequal access to justice might go beyond the financial costs of seeking justice and also depends on individual preferences and community infrastructure. These findings warn against focusing exclusively on formal justice costs to improve the equal access of the poor to conflict resolution services.

This article reviews the most recent and relevant evidence on key domestic policy interventions that are effective in reducing income inequality in developing countries, the benefits they generate, the choices that need to be made regarding their design and implementation, and the trade-offs that are associated with them. It focuses on a few policy areas in which there is a sufficient body of rigorous evidence to draw useful lessons with confidence: early childhood development, including breastfeeding; universal health care; good-quality education; conditional cash transfers; Investments in rural infrastructure; and taxation. The review concludes that there are many pathways to reducing inequality, from narrowing gaps in income generation opportunities to narrowing the potential for inequalities in human capital development before the inequalities emerge, smoothing consumption among the most deprived, and Redistribution in favor of the poor. Many interventions are simultaneously associated with equalizing outcomes, improved competition, and economic efficiency. Good interventions combining equality promotion and efficiency are possible in all settings and at different times; this includes interventions disproportionately benefiting the poorest in low-income countries during periods of crisis. Despite the significant increase in knowledge about equality interventions, the article makes a strong call for more microeconomic data and better—more precise—analysis to evaluate the effectiveness of interventions

Social scientists have increasingly invested in understanding how to improve data quality and measurement of sensitive topics in household surveys. We utilize the technique of list randomization to collect measures of physical intimate partner violence in an experimental impact evaluation of the Government of Zambia's Child Grant Program. The Child Grant Program is an unconditional cash transfer, which targeted female caregivers of children under the age of 5 in rural areas to receive the equivalent of US $24 as a bimonthly stipend. The implementation results show that the list randomization methodology functioned as planned, with approximately 15% of the sample identifying 12-month prevalence of physical intimate partner violence. According to this measure, after 4 years, the program had no measurable effect on partner violence. List randomization is a promising approach to incorporate sensitive measures into multitopic evaluations; however, more research is needed to improve upon methodology for application to measurement of violence.

Although the UN Millennium Development Goals (MDGs) have contributed to substantial progress in reducing the number of people living on less than $1.25 a day since 1990, it is now generally accepted that poverty goes beyond the simple lack of income. The new Sustainable Development Goals (SDGs) adopted by all member states of the United Nations (UN) in September 2015 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 (UNDESA 2016). Although there must be numerous ways of achieving this goal, research evidence on reducing multidimensional poverty is scarce. This paper investigates possible strategies for halving MD poverty among children using the case studies of Armenia and Bosnia and Herzegovina (BiH). Both Armenia and BiH conducted multidimensional child poverty studies in 2014–2016 based on nationally agreed definitions and using secondary data from representative household budget surveys. This analysis compares two approaches to halving the rate of multidimensional poverty among children aged 5–15 by employing static simulations: 1) reducing deprivation headcount in two to three key dimensions and 2) increasing monetary transfers to the consumption-poor

The new global Sustainable Development Goals (SDGs), agreed to by governments of the world in 2015, present an unprecedented opportunity for social progress for the new generation of children and young people (UNICEF and Global Coalition to End Child Poverty 2017). Goal 1 calls 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” (Target 1.2) by 2030 (United Nations 2015). The wording of Target 1.2 is significant because for the first time a global poverty goal includes children explicitly and recognizes the multidimensional nature of poverty. It is also the first time that a global poverty goal applies equally to rich and poor countries and refers explicitly to national definitions.

This paper describes and reviews the process of constructing a Multidimensional Child Poverty Measure in three sub-Saharan Africa countries: Mali, Malawi, and Tanzania. These countries recently (in 2015 and 2014) constructed a measure of multidimensional child poverty using UNICEF’s Multiple Overlapping Deprivation Analysis (MODA) methodology and conducted a comprehensive child poverty study including both deprivation and monetary poverty. This work describes how the methodology was adapted in the different contexts, discussing critical issues that arose during the study process, and compares the results of the three studies. The goal is to offer an overview of the different national processes and determine how similar or different factors influence the results.

This study applied UNICEF’s Multiple Overlapping Deprivation Analysis (MODA) framework to adolescents (aged 11, 13 and 15) in 37 European countries and Canada using data from the 2013/14 Health Behaviour in School-aged Children survey. It is one of the first applications of MODA based entirely on data collected from adolescents themselves rather than from household reference persons on their behalf. Unlike most other multidimensional child poverty studies, the present analysis focuses on non-material, relational aspects of child poverty. Substantial cross-country variation was found in the prevalence of adolescent deprivations in nutrition, perceived health, school environment, protection from peer violence, family environment and information access. These single dimensions of poverty did not closely relate to national wealth and income inequality. However, when we looked at deprivation in three or more dimensions (i.e., multidimensional poverty), we found association with income inequality. In most countries, girls were at a higher risk of multidimensional poverty than boys. In addition, adolescents who lived with both parents in the household or reported higher family wealth were consistently less poor than other adolescents, in both single and multiple dimensions. The results of this study show the interconnectedness of social (family, school support) and psychological (health and violence) dimensions of poverty for adolescents in higher income countries. Children poor in the domains of family and school environment are also likely to be poor in terms of perceived health and protection from peer violence.