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Targeting assistance to the poor using household survey data

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  • Glewwe, Paul
  • Kanaan, Oussama

Abstract

It is important that limited government resources be channeled to the poor, but it is not always easy to identify the poor. Which households should be given tranfers when reliable information on incomes is difficult to obtain? The authors of this paper present a simple method for targeting when income is not observable but other characteristics that are correlated with income can be observed. Using survey data taken from Cote d'Ivoire, they predict incomes based on observable characteristics and distribute transfers on the basis of those predictions. It appears that significant reductions in poverty can be achieved using this method.

Suggested Citation

  • Glewwe, Paul & Kanaan, Oussama, 1989. "Targeting assistance to the poor using household survey data," Policy Research Working Paper Series 225, The World Bank.
  • Handle: RePEc:wbk:wbrwps:225
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    References listed on IDEAS

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    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Juviliana Pereira Corrêa & Marcel Toledo Vieira & Ricardo Silva Freguglia & Admir Antônio Betarelli Junior, 2023. "Focus on cash transfer programs: assessing the eligibility of the Bolsa Família program in Brazil," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1247-1271, April.
    2. Bibi Sami, 2003. "On the Impact of Better Targeted Transfers on Poverty in Tunisia," Review of Middle East Economics and Finance, De Gruyter, vol. 1(1), pages 17-35, January.
    3. Christophe Muller, 2006. "Optimising Anti-Poverty Transfers With Quantile Regressions," IDEP Working Papers 0601, Institut d'economie publique (IDEP), Marseille, France, revised Feb 2006.
    4. Bigman, David & Srinivasan, P. V., 2002. "Geographical targeting of poverty alleviation programs: methodology and applications in rural India," Journal of Policy Modeling, Elsevier, vol. 24(3), pages 237-255, June.
    5. Chung, Kimberly & Haddad, Lawrence James & Ramakrishna, Jayashree & Riely, Frank Z., 1997. "Alternative approaches to locating the food insecure," FCND discussion papers 22, International Food Policy Research Institute (IFPRI).
    6. Adama Bah, 2015. "Finding the Best Indicators to Identify the Poor," CERDI Working papers halshs-00936201, HAL.
    7. Sojo, Ana, 1990. "Nature and selectiveness of social policy," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    8. Pinto, Santiago M., 2004. "Assistance to poor households when income is not observed: targeted in-kind and in-cash transfers," Journal of Urban Economics, Elsevier, vol. 56(3), pages 536-553, November.
    9. Aguila, Emma & Kapteyn, Arie & Tassot, Caroline, 2017. "Designing cash transfer programs for an older population: The Mexican case," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 111-121.
    10. Christophe Muller & Sami Bibi, 2006. "Focused Targeting against Poverty Evidence from Tunisia," IDEP Working Papers 0602, Institut d'economie publique (IDEP), Marseille, France, revised Apr 2006.
    11. -, 1990. "CEPAL Review no.41," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    12. Sabina Alkire & Suman Seth, 2013. "Selecting a Targeting Method to Identify BPL Households in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 417-446, June.
    13. Delalić Adela & Abdić Ademir & Halilbašić Muamer & Šćeta Lamija, 2020. "Assesing efficiency of targeting in social services in Federation of Bosnia and Herzegovina," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 6(1), pages 56-74, May.
    14. Tapanat Paiboonsin, 2019. "Targeting Poor Students With Proxy Means Test," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 5(3), pages 155-176.
    15. Ngee-Choon Chia & Wahba, Sadek & Whalley, John, 1992. "A general equilibrium based social policy model for Cote d'Ivoire," Policy Research Working Paper Series 925, The World Bank.
    16. Sojo, Ana, 1991. "La investigación para la política social: esbozo de su actual relevancia en Chile," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 33694, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    17. Sharif, Iffath A., 2012. "Can Proxy Means Testing Improve the Targeting Performance of Social Safety Nets in Bangladesh?," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 35(2), pages 1-43, June.
    18. Bisogno, Marcelo & Chong, Alberto, 2001. "Foreign aid and poverty in Bosnia and Herzegovina: Targeting simulations and policy implications," European Economic Review, Elsevier, vol. 45(4-6), pages 1020-1030, May.
    19. Mohamed Bakhshoodeh, 2013. "Proxy Means Tests for Targeting Subsidies Scheme in Iran," Working Papers 795, Economic Research Forum, revised Nov 2013.
    20. repec:dau:papers:123456789/4335 is not listed on IDEAS
    21. Christophe MULLER & Sami BIBI, 2008. "Focused Transfer Targeting against Poverty Evidence from Tunisia," THEMA Working Papers 2008-37, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    22. Christophe Muller & Sami Bibi, 2010. "Refining Targeting against Poverty Evidence from Tunisia," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(3), pages 381-410, June.
    23. Tschirley, David L. & Rose, Donald, 2000. "Developing Cost Effective Methods for Estimating Household Income and Nutrient Intake Adequacy," Food Security International Development Policy Syntheses 11330, Michigan State University, Department of Agricultural, Food, and Resource Economics.

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