Publication: How to Target Households in Adaptive Social Protection Systems? Evidence from Humanitarian and Development Approaches in Niger
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Published
2019-12-06
ISSN
0022-0388
Date
2020-01-08
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The methods used to identify the beneficiaries of programs aiming to address persistent poverty and shocks are subject to frequent policy debates. Relying on panel data from Niger, this report simulates the performance of various targeting methods that are widely used by development and humanitarian actors. The methods include proxy-means testing (PMT), household economy analysis (HEA), geographical targeting, and combined methods. Results show that PMT performs more effectively in identifying persistently poor households, while HEA shows superior performance in identifying transiently food insecure households. Geographical targeting is particularly efficient in responding to food crises, which tend to be largely covariate. Combinations of geographical, PMT, and HEA approaches may be used as part of an efficient and scalable adaptive social protection system. Results motivate the consolidation of data across programs, which can support the application of alternative targeting methods tailored to program-specific objectives.
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Publication How to Target Households in Adaptive Social Protection Systems?(World Bank, Washington, DC, 2016-10)Proxy Means Test (PMT) and the Household Economy Analysis (HEA) are widely used methods to target chronically poor households and those suffering from food crises respectively. Using panel data from Niger, this study provides the first empirical evidence on the relative efficiency of these methods in identifying households suffering from permanent or seasonal deprivations. Results show limited overlap between households selected by each method. The PMT performs better in targeting chronically poor households, while HEA performs better in targeting seasonal food insecure households. The study also explores the extent to which these methods can be improved, used and potentially combined to target households as part of ASP systems. Results show that the HEA formula could be further improved to target seasonally food insecure households, including through a regression model estimating food insecurity, and a principal component analysis (PCA) model. Combinations of PMT with methods such as HEA, PCA, or a food insecurity formula may be considered to identify households suffering from chronic poverty and seasonal food insecurity as part of an efficient and scalable ASP system. Harmonizing data collection tools of PMT and HEA users would serve as a crucial building block towards a unified registry and play a key role in improving the efficiency of ASP systems.Publication Targeting for Social Safety Nets(World Bank, Washington, DC, 2021-10)Proxy-Means Testing (PMT) and Community-Based Targeting (CBT) are among the most widely used methods for poverty targeting in low-income settings. 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Overall, the results emphasize the need to study programs as implemented in practice instead of relying on simulations of targeting performance, as widely used by practitioners and academics. Taken together, the findings suggest that while there may be a need to select households resulting from budget constraints, PMT and CBT contribute little to poverty or food insecurity reduction efforts in poor and homogeneous settings.Publication Humanitarian and Social Protection Linkages with Examples from South Asia(World Bank, Washington, DC, 2022)Traditionally social protection (SP) and humanitarian programs were quite distinct in their objectives, scope, and operations, but over time those distinctions have diminished and with that the gains from better integration. Humanitarian programs are committed to more involvement of national actors, more use of cash, and greater popular participation all matters that are important for SP actors. 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