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Reaching the Poor: Cash Transfer Program Targeting in Cameroon

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  • Stoeffler, Quentin
  • Mills, Bradford
  • del Ninno, Carlo

Abstract

Identifying and selecting poor households with efficient targeting methods is essential for effective poverty alleviation programs. This paper assesses the ex-post performance of two popular targeting mechanisms, Proxy Means Testing (PMT) and Community-Based Targeting (CBT), in a pilot cash transfer program in Cameroon. Several indicators and metrics to measure each method’s performance in terms of inclusion of poor households and exclusion of non-poor households are employed. Results consistently show that CBT performs poorly in terms of selecting households with low per capita consumption when compared to PMT. CBT appears to select households with low physical and human capital, regardless of actual consumption level. However, CBT also shows more variability in the selection decision than PMT even when alternative poverty definitions are used as robustness tests. The PMT method used in the pilot slightly outperforms other targeting methods (hybrid, alternative PMT, and universal targeting with equal budget), but errors remain high when selecting 35% of the population for program participation. The results suggest caution is needed in employing CBT methods to select households with low per capita consumption in an environment where poverty levels are high and administrative capacities are limited. CBT performance may be improved through more uniform and consistent guidance on program selection criteria and process, including explicit criteria that enable CBT monitoring, as well as a better integration between PMT and CBT.

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  • Stoeffler, Quentin & Mills, Bradford & del Ninno, Carlo, 2016. "Reaching the Poor: Cash Transfer Program Targeting in Cameroon," World Development, Elsevier, vol. 83(C), pages 244-263.
  • Handle: RePEc:eee:wdevel:v:83:y:2016:i:c:p:244-263
    DOI: 10.1016/j.worlddev.2016.01.012
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    3. Alix-Garcia, Jennifer M. & Sims, Katharine R.E. & Costica, Laura, 2021. "Better to be indirect? Testing the accuracy and cost-savings of indirect surveys," World Development, Elsevier, vol. 142(C).
    4. Hillebrecht, Michael & Klonner, Stefan & Pacere, Noraogo A., 2020. "Dynamic Properties of Poverty Targeting," Working Papers 0696, University of Heidelberg, Department of Economics.
    5. Brown, Caitlin & Ravallion, Martin & van de Walle, Dominique, 2018. "A poor means test? Econometric targeting in Africa," Journal of Development Economics, Elsevier, vol. 134(C), pages 109-124.
    6. Henderson, Heath & Follett, Lendie, 2022. "Targeting social safety net programs on human capabilities," World Development, Elsevier, vol. 151(C).
    7. Jensen, Nathaniel & Stoeffler, Quentin & Fava, Francesco & Vrieling, Anton & Atzberger, Clement & Meroni, Michele & Mude, Andrew & Carter, Michael, 2019. "Does the design matter? Comparing satellite-based indices for insuring pastoralists against drought," Ecological Economics, Elsevier, vol. 162(C), pages 59-73.
    8. Quentin Stoeffler & Francis Fontshi & Aimé Lungela, 2020. "Targeting in Practice: A Review of Existing Mechanisms for Beneficiary Selection in the Democratic Republic of Congo," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(5), pages 824-829, July.
    9. Patrick Premand & Pascale Schnitzer, 2021. "Efficiency, Legitimacy, and Impacts of Targeting Methods: Evidence from an Experiment in Niger," The World Bank Economic Review, World Bank, vol. 35(4), pages 892-920.
    10. Porisky, Alesha & Mohamed, Tahira Shariff & Muthui, Patrick Mutinda, 2023. "Kenya’s ‘Universal’ social pension: The politics of registration in Marsabit County," World Development, Elsevier, vol. 164(C).
    11. Houssou, Nazaire & Asante-Addo, Collins & Andam, Kwaw S., 2017. "Improving the targeting of fertilizer subsidy programs in Africa south of the Sahara: Perspectives from the Ghanaian experience," IFPRI discussion papers 1622, International Food Policy Research Institute (IFPRI).
    12. Rebecca Pietrelli & Marco d’Errico & Kate Dassesse, 2021. "Measuring household food security through surveys: Do the characteristics of the enumerators matter?," Development Policy Review, Overseas Development Institute, vol. 39(6), pages 911-925, November.
    13. Follett, Lendie & Henderson, Heath, 2023. "A hybrid approach to targeting social assistance," Journal of Development Economics, Elsevier, vol. 160(C).
    14. Schnitzer,Pascale & Stoeffler,Quentin, 2021. "Targeting for Social Safety Nets : Evidence from Nine Programs in the Sahel," Policy Research Working Paper Series 9816, The World Bank.
    15. Han, Huawei & Gao, Qin, 2019. "Community-based welfare targeting and political elite capture: Evidence from rural China," World Development, Elsevier, vol. 115(C), pages 145-159.
    16. M. Savy & S. Fortin & Y. Kameli & S. Renault & C. Couderc & A. Gamli & K. Amouzou & M. L. Perenze & Y. Martin-Prevel, 2020. "Impact of a food voucher program in alleviating household food insecurity in two cities in Senegal during a food price crisis," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(2), pages 465-478, April.
    17. Hillebrecht, Michael & Klonner, Stefan & Pacere, Noraogo A., 2023. "The dynamics of poverty targeting," Journal of Development Economics, Elsevier, vol. 161(C).
    18. Fuchs, Lisa Elena & Orero, Levi & Apondi, Victoria Atieno & Kipkorir, Lang'at, 2021. "How to stop wasting money in international development: Using a structured group selection approach to counter procedural inefficiency," World Development Perspectives, Elsevier, vol. 24(C).
    19. Della Guardia, Anne & Lake, Milli & Schnitzer, Pascale, 2022. "Selective inclusion in cash transfer programs: Unintended consequences for social cohesion," World Development, Elsevier, vol. 157(C).

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