How to Target Households in Adaptive Social Protection Systems? Evidence from Humanitarian and Development Approaches in Niger

References

• Alatas, V., Banerjee, A., Hanna, R., Olken, B. A., & Tobias, J. (2012). Targeting the poor: Evidence from a field experiment in Indonesia. American Economic Review, 102, 1206–1240.
   PubMed Web of Science ®Google Scholar
• Barrett, C. B. (2010). Measuring food insecurity. Science, 327, 825–828.
   PubMed Web of Science ®Google Scholar
• Beegle, K., Coudouel, A., & Monsalve, E. (Eds.). (2018). Realizing the full potential of social safety nets in Africa. Washington, DC: World Bank.
   Google Scholar
• Bourahla, L., Evrard-Diakite, M., Malam, A., & Boulinaud, M. (2014). Guide méthodologique de ciblage basé sur la méthode HEA. Unpublished manuscript. Brussels: Alliance Sécurité Alimentaire au Niger.
   Google Scholar
• Brown, C. S., Ravallion, M., & van de Walle, D. (2017). Are poor individuals mainly found in poor households? Evidence using nutrition data for Africa. (Policy Research Working Paper No. 8001). Washington, DC: World Bank.
   Google Scholar
• Brück, T., Díaz Botía, O. M., Ferguson, N. T. N., Ouédraogo, J., & Ziegelhöfer, Z. (2019). Assets for alimentation? The nutritional impact of assets-based programming in Niger. Journal of Development Studies, 55(S1), 55–74.
   Web of Science ®Google Scholar
• Coady, D. P., Grosh, M. E., & Hoddinott, J. F. (2004). Targeting of transfers in developing countries: Review of lessons and experience. (World Bank Regional and Sectoral Studies Series). Washington, DC: World Bank.
   Google Scholar
• Davies, M., Béné, C., Arnall, A., Tanner, T., Newsham, A., & Coirolo, C. (2013). Promoting resilient livelihoods through adaptive social protection: Lessons from 124 programmes in South Asia. Development Policy Review, 31, 27–58.
   Web of Science ®Google Scholar
• Del Ninno, C., & Mills, B., (Eds.). (2015). Safety nets in Africa: Effective mechanisms to reach the poor and most vulnerable. (Africa Development Forum Series). Washington, DC: World Bank and Agence Française de Développement.
   Google Scholar
• Devereux, S., Masset, E., Sabates-Wheeler, R., Samson, M., Rivas, A. M., & Te Lintelo, D. (2017). The targeting effectiveness of social transfers. Journal of Development Effectiveness, 9, 162–211.
   Web of Science ®Google Scholar
• Elbers, C., Fujii, T., Lanjouw, P., Özler, B., & Yin, W. (2007). Poverty alleviation through geographic targeting: How much does disaggregation help? Journal of Development Economics, 83, 198–213.
   Web of Science ®Google Scholar
• Enenkel, M., See, L., Bonifacio, R., Boken, V., Chaney, N., Vinck, P., … Anderson, M. (2015). Drought and food security: Improving decision-support via new technologies and innovative collaboration. Global Food Security, 4, 51–55.
   Google Scholar
• European Commission, European Civil Protection and Humanitarian Aid Operations (ECHO). (2018, February 22). Niger: Facts and figures. Brussels: Author. Retrieved from https://reliefweb.int/sites/reliefweb.int/files/resources/niger_2018-02-23.pdf.
   Google Scholar
• Food and Agriculture Organisation of the United Nations (FAO). (2019, April 19). Sahel and West Africa: Cadre Harmonisé, analysis June–August 2019 (projected). FAO in Emergencies. Retrieved from http://www.fao.org/emergencies/resources/maps/detail/en/c/1188184/
   Google Scholar
• Grosh, M. E., & Baker, J. L. (1995). Proxy means tests for targeting social programs: Simulations and speculation. (LSMS Working Paper No. 118). Washington, DC: World Bank.
   Google Scholar
• Holzmann, P. (2008). The household economy approach: A guide for programme planners and policy-makers With. T. Boudreau, J. Holt, M. Lawrence, & M. O’Donnell. London: Save the Children Fund and FEG Consulting.
   Google Scholar
• Jean, N., Burke, M., Xie, M., Davis, W. M., Lobell, D. B., & Ermon, S. (2016). Combining satellite imagery and machine learning to predict poverty. Science, 353, 790–794.
   PubMed Web of Science ®Google Scholar
• Karlan, D., & Thuysbaert, B. (2016). Targeting ultra-poor households in Honduras and Peru. World Bank Economic Review, 33, 63–94.
   Google Scholar
• Maxwell, D., Young, H., Jaspars, S., Frize, J., & Burns, J. (2011). Targeting and distribution in complex emergencies: Participatory management of humanitarian food assistance. Food Policy, 36, 535–543.
   Web of Science ®Google Scholar
• National Institute of Statistics of Niger (INS-Niger) & World Bank. (2013, June). Profil et déterminants de la pauvreté au Niger en 2011: Premiers résultats de l’Enquête Nationale sur les Conditions de Vie, des Ménages et l’Agriculture au Niger (ECVMA). Niamey, Niger: Author.
   Google Scholar
• Premand, P., & Schnitzer, P. (2018). Efficiency, legitimacy, and impacts of targeting methods: Evidence from an experiment in Niger (Policy Research Working Paper No. 8412). Washington, DC: World Bank.
   Google Scholar
• Stoeffler, Q., Mills, B., & Del Ninno, C. (2016). Reaching the poor: Cash transfer program targeting in Cameroon. World Development, 83, 244–263.
   Web of Science ®Google Scholar
• United Nations Children’s Fund (UNICEF). (2017, October). Children in Indonesia: An analysis of poverty, mobility, and multidimensional deprivation. Jakarta, Indonesia: Author.
   Google Scholar
• Verme, P., & Gigliarano, C. (2019). Optimal targeting under budget constraints in a humanitarian context. World Development, 119, 224–233.
   Web of Science ®Google Scholar
• World Bank. (2018). The state of social safety nets 2018. Washington, DC: Author.
   Google Scholar
• World Food Programme, Vulnerability Analysis and Mapping Branch (WFP VAM). (2008). Food consumption analysis: Calculation and use of the food consumption score in food security analysis. (Technical Guidance Sheet). Rome: Author.
   Google Scholar