Targeting mechanisms for cash transfers using regional aggregates
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We propose an empirical method for improving food assistance scoring and targeting, which minimizes under-coverage and leakage of food and cash assistance programs. The empirical strategy relies on a joint econometric estimation of food insecurity and economic vulnerability indicators at the household level, using data-driven instead of predetermined quantiles. We applied the method to recent micro data on Syrian refugees in Lebanon, to explore how regional and community-based aggregates can improve the targeting effectiveness of aid programs, notably food aid by the World Food Program in Lebanon. Our results confirm that using regional aggregates are useful for augmenting the Balanced Poverty Accuracy Criterion, and our method performs much better than the current policy in terms of targeting effectiveness and accuracy for economically vulnerable households.
KeywordsTargeting Food security Economic vulnerability Food aid Refugees
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Conflict of interest
The authors declare that they have no conflict of interest.
- Barrett, C. B. (2002). Food security and food assistance programs. In Handbook of Agricultural Economics, vol. 2, Chapter 40. Dordrecht: Elsevier Science.Google Scholar
- Benfield, W. A. (2007). Optimum targeting: The Jamaica food stamp programme. Social and Economic Studies, 56(4), 121–164.Google Scholar
- Besley, T., & Kanbur, R. (1993). The principles of targeting. In M. Lipton & J. Van der Gaag (Eds.), Including the Poor. Washington DC: World Bank.Google Scholar
- Chung, K., Haddad, L., Ramakrishna, J., & Riely, F. (1997). Identifying the food insecure: The application of mixed-method approaches in India. Washington DC: International Food Policy Research Institute.Google Scholar
- Dercon, S. (2006). Vulnerability: A micro perspective. In Securing Development in an Unstable World (François bourguignon, Boris Pleskovic and Jacques van der Gaag, eds.), pp. 117-146. Proceedings of the annual World Bank conference on development economics—Europe 2006.Google Scholar
- Drummond, J., R. Khoury, S. Bailey, N. Crawford, L. Fan, R. Milhem, and S. A. Zyck (2015). An Evaluation of WFP's Regional Response to the Syrian Crisis, 2011-2014. Evaluation report OEV/2014/19, Overseas Development Institute for the WFP Office of Evaluation. Rome: United Nations.Google Scholar
- Haddad, L., Hoddinott, J., & Alderman, H. (Eds.). (1997). Intrahousehold resource allocation in developing countries: Models, methods and policy. Baltimore: Johns Hopkins University Press.Google Scholar
- IRIS Center. (2005). Note on assessment and improvement of tool accuracy. http://www.povertytools.org/training_documents/Introduction%20 to%20PA/Accuracy_Note.Pdf.
- Lipton, M., & Ravallion, M. (1995). Poverty and policy. In: Behrman J. & Srinivasan, T.N. (eds.), Handbook of Development Economics, vol. 3B. Amsterdam: Elsevier.Google Scholar
- Maxwell, D., Coates, J., & Vaitla, B. (2013). How do different indicators of household food security compare? Empirical evidence from Tigray. Medford: Feinstein International Center, Tufts University.Google Scholar
- Sajaia, Z. (2007). Maximum likelihood estimation of a bivariate ordered Probit model: Implementation and Monte Carlo simulations. Washington, DC: World Bank.Google Scholar
- Sen, A. (1995). The political economy of targeting. In D. van de Walle & K. Need (Eds.), Public spending and the poor: Theory and evidence. Maryland: The Johns Hopkins University Press.Google Scholar
- UNHCR, UNICEF, & WFP. (2015). Vulnerability assessment of Syrian refugees in Lebanon. Report,2015. http://data.unhcr.org/syrianrefugees/download.php?id=10006.
- World Food Program. (2009). Comprehensive Food Security & Vulnerability Analysis Guidelines. Rome: United Nations.Google Scholar
- World Food Program. (2016). Lebanon - Vulnerability Assessment of Syrian Refugees in Lebanon (December). Rome: United Nations.Google Scholar