03. Journals
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These are journal articles published in World Bank journals as well as externally by World Bank authors.
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Publication
Tackling psychosocial and capital constraints to alleviate poverty
(Springer Nature, 2022-04-27)Many policies attempt to help extremely poor households build sustainable sources of income. Although economic interventions have predominated historically 1,2, psychosocial support has attracted substantial interest 3,4,5, particularly for its potential cost-effectiveness. Recent evidence has shown that multi-faceted ‘graduation’ programs can succeed in generating sustained changes 6,7. Here we show that a multi-faceted intervention can open pathways out of extreme poverty by relaxing capital and psychosocial constraints. We conducted a four-arm randomized evaluation among extremely poor female beneficiaries already enrolled in a national cash transfer government program in Niger. The three treatment arms included group savings promotion, coaching and entrepreneurship training, and then added either a lump-sum cash grant, psychosocial interventions, or both the cash grant and psychosocial interventions. All three arms generated positive effects on economic outcomes and psychosocial well-being, but there were notable differences in the pathways and the timing of effects. Overall, the arms with psychosocial interventions were the most cost-effective, highlighting the value of including well-designed psychosocial components in government-led multi-faceted interventions for the extreme poor. -
Publication
How much does reducing inequality matter for global poverty?
(Springer Nature, 2022-03-02)The goals of ending extreme poverty by 2030 and working towards a more equal distribution of incomes are part of the United Nations’ Sustainable Development Goals. Using data from 166 countries comprising 97.5 percent of the world’s population, we simulate scenarios for global poverty from 2019 to 2030 under various assumptions about growth and inequality. We use different assumptions about growth incidence curves to model changes in inequality and rely on a machine-learning algorithm called model-based recursive partitioning to model how growth in GDP is passed through to growth as observed in household surveys. When holding within-country inequality unchanged and letting GDP per capita grow according to World Bank forecasts and historically observed growth rates, our simulations suggest that the number of extreme poor (living on less than 1.90 dollars/day) will remain above 600 million in 2030, resulting in a global extreme poverty rate of 7.4 percent. If the Gini index in each country decreases by 1 percent per year, the global poverty rate could reduce to around 6.3 percent in 2030, equivalent to 89 million fewer people living in extreme poverty. Reducing each country’s Gini index by 1 percent per year has a larger impact on global poverty than increasing each country’s annual growth 1 percentage point above forecasts. We also study the impact of COVID-19 on poverty and find that the pandemic may have driven around 60 million people into extreme poverty in 2020. If the pandemic increased the Gini index by 2 percent in all countries, then more than 90 million may have been driven into extreme poverty in 2020. -
Publication
Lives and Livelihoods: Estimates of the Global Mortality and Poverty Effects of the COVID-19 Pandemic
(Elsevier, 2021-09)We evaluate the global welfare consequences of increases in mortality and poverty generated by the Covid-19 pandemic. Increases in mortality are measured in terms of the number of years of life lost (LY) to the pandemic. Additional years spent in poverty (PY) are conservatively estimated using growth estimates for 2020 and two different scenarios for its distributional characteristics. Using years of life as a welfare metric yields a single parameter that captures the underlying trade-o between lives and livelihoods: how many PYs have the same welfare cost as one LY. Taking an agnostic view of this parameter, we compare estimates of LYs and PYs across countries for different scenarios. Three main findings arise. First, we estimate that, as of early June 2020, the pandemic (and the observed private and policy responses) had generated at least 68 million additional poverty years and 4.3 million years of life lost across 150 countries. The ratio of PYs to LYs is very large in most countries, suggesting that the poverty consequences of the crisis are of paramount importance. Second, this ratio declines systematically with GDP per capita: poverty accounts for a much greater share of the welfare costs in poorer countries. Finally, a comparison of these baseline results with mortality estimates in a counterfactual herd immunity scenario suggests that welfare losses would be greater in the latter in most countries. -
Publication
An Individual-Based Index of Multidimensional Poverty for Low- and Middle-Income Countries
(Taylor and Francis, 2021-08-27)This paper proposes a new index of multidimensional poverty, called the Global Correlation Sensitive Poverty Index (G-CSPI), which has three interesting features. First, it encompasses three dimensions: decent work, education and access to drinking water and sanitation, which largely overlap with the list of ideal dimensions obtained by expanding the Constitutional Approach, although it does not include direct health measures. Second, it uses a distribution-sensitive measure that can also be decomposed into the three poverty components: incidence, intensity and inequality. Finally, the G-CSPI is an individual-based, rather than household-based index, although restricted to individuals 15–65 years of age. It is thus able to detect intra-household differences in poverty among members within that age-range. To have a full picture of multidimensional poverty at the country level, it should then be complemented by specific poverty measures for children and the elderly. Being centered on individuals and sensitive to inequality, the G-CSPI is coherent with the overarching principle of the 2030 Agenda “leaving no one behind”. Using recent estimates of the G-CSPI for 104 countries, the empirical analysis reveals that the index is highly robust to different specifications, and that, as expected, fragile countries experience the largest levels of poverty. -
Publication
The Equity Effects of Cadasters in Colombia
(Taylor & Francis, 2021-08-01)Well-functioning cadasters help to secure property rights, make economies perform more efficiently and promote environmental conservation. However, their equity effects are less known. Our study addresses how and to what extent cadasters, and reforms to them, affect equity. The authors address this question through an ex-ante simulation methodology using static partial equilibrium fiscal incidence analysis. We apply it to a recent expansion of the cadaster in Colombia, designed as a deliberate equalization strategy in one of the world’s most unequal countries. This expansion will increase the collection of property taxes paid by previously informal households by about US 22.1 million dollars and their net worth by about US 4,993 million dollars (or about 3.2 and 4.9 percent of their baseline value). However, the expansion of the cadaster will also increase the incidence of poverty (by 0.25 percent points), the poverty gap (by 0.20 percent points) and inequality (by 0.12 percent points of the Gini index), unless generous compensatory interventions are applied. We conclude that equity effects of cadasters are complex and multiple. Policy-wide, compensatory measures are needed to alleviate the immediate impacts on poverty and inequality after the increase in taxes that vulnerable and poor households will likely face following a cadaster reform. -
Publication
Water and Sanitation in Dhaka Slums: Access, Quality, and Informality in Service Provision
(Taylor and Francis, 2020-07-16)Slum populations are commonly characterized to have poorly developed water and sanitation systems and speculated to access services through informal channels. However, there are limited representative profiles of water and sanitation services in slums, making it difficult to prioritize interventions that will make services safer for residents. This cross-sectional study examines quality and provision of access to water and sanitation services in government slums across Dhaka, Bangladesh. Access is overall high but is subject to quality issues related to safety, reliability, and liability. Services are often operated by informal middlemen at various stages of provision. -
Publication
Is It Really Possible for Countries to Simultaneously Grow and Reduce Poverty and Inequality? Going Beyond Global Narratives
(Taylor and Francis, 2020-06)Global narratives underscore that economic growth can often coincide with reductions in poverty and inequality. However, the experiences of several countries over recent decades confirm that inequality can widen or narrow in response to policy choices and independent of economic growth. This paper analyses five country cases, Brazil, Cambodia, Mali, Peru and Tanzania. These countries are the most successful in reducing inequality and poverty while growing robustly for at least a decade since the early 2000 s. The paper assesses how good macroeconomic management, sectoral reform, the strengthening of safety nets, responses to external shocks, and initial conditions all chip away at inequality and support broad growth. Sustained and robust economic growth with strong poverty and inequality reductions are possible across very different contexts and policy choices. The comparative analysis also identifies common building blocks toward success and warns that hard-earned achievements can be easily overturned. -
Publication
Is Predicted Data a Viable Alternative to Real Data?
(Published by Oxford University Press on behalf of the World Bank, 2020-06)It is costly to collect the household- and individual-level data that underlie official estimates of poverty and health. For this reason, developing countries often do not have the budget to update estimates of poverty and health regularly, even though these estimates are most needed there. One way to reduce the financial burden is to substitute some of the real data with predicted data by means of double sampling, where the expensive outcome variable is collected for a subsample and its predictors for all. This study finds that double sampling yields only modest reductions in financial costs when imposing a statistical precision constraint in a wide range of realistic empirical settings. There are circumstances in which the gains can be more substantial, but these denote the exception rather than the rule. The recommendation is to rely on real data whenever there is a need for new data and to use prediction estimators to leverage existing data. -
Publication
How Does Poverty Differ among Refugees? Taking a Gender Lens to the Data on Syrian Refugees in Jordan
(Taylor and Francis, 2020-05-12)Many reports document the hardships experienced by refugees, highlighting that women and children are a highly vulnerable group. However, empirical analysis of how gender inequality impacts poverty among refugees is limited. We combine registration data for Syrian refugees in Jordan collected by the United Nations High Commissioner for Refugees with data from its Home Visit surveys to analyze income poverty rates among refugee households. We use an approach that captures the disruption to household structures that results from displacement to evaluate the poverty impacts, comparing refugee households with male and female principal applicants (PAs). We find that distinguishing between different types of principal applicant households is important. Half of the female PAs for nonnuclear households live below the poverty line compared to only one-fifth of male PAs for nonnuclear household. PAs who are widows and widowers also face high poverty risks. Households that have formed because of the unpredictable dynamics of forced displacement, such as unaccompanied children and single caregivers, emerge as extremely vulnerable groups. We show that differences in household composition and individual attributes of male and female PAs are not the only factors driving increased poverty risk. Gender-specific barriers which prevent women accessing labor markets are also a factor. Our findings show that gender inequality amplifies the poverty experienced by a significant number of refugees. Our approach can be used to help policy-makers design more effective programs of assistance and find durable solutions for displaced populations. -
Publication
Finding the Poor vs. Measuring Their Poverty: Exploring the Drivers of Targeting Effectiveness in Indonesia
(Published by Oxford University Press on behalf of the World Bank, 2019-10)Centralized targeting registries are increasingly used to allocate social assistance benefits in developing countries. There are two key design issues that matter for targeting accuracy: (i) which households to survey for inclusion in the registry; and (ii) how to rank surveyed households. We attempt to identify their relative importance by evaluating Indonesia's Unified Database for Social Protection Programs (UDB), among the largest targeting registries in the world, used to provide social assistance to over 25 million households. Linking administrative data with an independent household survey, we find that the UDB system is more progressive than previous, program-specific targeting approaches. However, simulating an alternative targeting system based on enumerating all households, we find a one-third reduction in undercoverage of the poor compared to focusing on households registered in the UDB. Overall, there are large gains in targeting performance from improving the initial registration stage relative to the ranking stage.