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A poverty-sensitive scorecard to prioritize lending and grant allocation: Evidence from Central America:

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  • Hernandez, Manuel A.
  • Torero, Máximo

Abstract

Development projects are generally subject to a potential tradeoff between sustainability and poverty reduction. Grants are also commonly assigned without a standardized criterion. This paper proposes an innovative scoring tool that combines both a risk and poverty scorecard to prioritize lending and grant allocation. We implement and test the instrument through a competitive fund for demand-driven projects in Central America intended to better link smallholder farmers to markets and improve their welfare. The evaluation results show that the highest-ranked projects generally have a larger economic impact on their beneficiaries than lower-ranked projects. We observe a larger effect on income, access to credit,and access to local markets, and the relative differences are stronger over time. The proposed scorecard tool is intended to better ensure the accountability and sustainability of development funds and can be easily adapted to different contexts

Suggested Citation

  • Hernandez, Manuel A. & Torero, Máximo, 2016. "A poverty-sensitive scorecard to prioritize lending and grant allocation: Evidence from Central America:," IFPRI discussion papers 1518, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:1518
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    1. Braverman, Avishay & Guasch, J. Luis, 1986. "Rural credit markets and institutions in developing countries: Lessons for policy analysis from practice and modern theory," World Development, Elsevier, vol. 14(10-11), pages 1253-1267.
    2. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, number 8355, December.
    3. Qi Li & Jeffrey Scott Racine, 2006. "Density Estimation, from Nonparametric Econometrics: Theory and Practice," Introductory Chapters,in: Nonparametric Econometrics: Theory and Practice Princeton University Press.
    4. McKenzie, David, 2012. "Beyond baseline and follow-up: The case for more T in experiments," Journal of Development Economics, Elsevier, vol. 99(2), pages 210-221.
    5. Klein, Roger W & Spady, Richard H, 1993. "An Efficient Semiparametric Estimator for Binary Response Models," Econometrica, Econometric Society, vol. 61(2), pages 387-421, March.
    6. McPherson, Michael A., 1996. "Growth of micro and small enterprises in southern Africa," Journal of Development Economics, Elsevier, vol. 48(2), pages 253-277, March.
    7. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    8. Bulte, Erwin H. & Damania, Richard & Lopez, Ramon, 2007. "On the gains of committing to inefficiency: Corruption, deforestation and low land productivity in Latin America," Journal of Environmental Economics and Management, Elsevier, vol. 54(3), pages 277-295, November.
    9. Adams, Dale W. & Graham, Douglas H., 1981. "A critique of traditional agricultural credit projects and policies," Journal of Development Economics, Elsevier, vol. 8(3), pages 347-366, June.
    10. Manuel Hernandez & Maximo Torero, 2014. "Parametric versus nonparametric methods in risk scoring: an application to microcredit," Empirical Economics, Springer, vol. 46(3), pages 1057-1079, May.
    11. Shahidur R. Khandker, 2005. "Microfinance and Poverty: Evidence Using Panel Data from Bangladesh," World Bank Economic Review, World Bank Group, vol. 19(2), pages 263-286.
    12. Carlos Serrano-Cinca & Begoña Gutiérrez-Nieto & Nydia M. Reyes, 2013. "A Social Approach to Microfinance Credit Scoring," Working Papers CEB 13-013, ULB -- Universite Libre de Bruxelles.
    13. Seibel, Hans Dieter, 2000. "Agricultural Development Banks: Close them or reform them?," Working Papers 2000,4, University of Cologne, Development Research Center.
    14. repec:idb:brikps:82331 is not listed on IDEAS
    15. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, March.
    16. Minot, Nicholas & Benson, Todd, 2009. "Fertilizer subsidies in Africa: Are vouchers the answer?," Issue briefs 60, International Food Policy Research Institute (IFPRI).
    17. T.S. Jayne & Shahidur Rashid, 2013. "Input subsidy programs in sub-Saharan Africa: a synthesis of recent evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 44(6), pages 547-562, November.
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    More about this item

    Keywords

    poverty; risk; credit; finance;

    JEL classification:

    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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