Targeting mechanisms for cash transfers using regional aggregates

Jad Chaaban, Hala Ghattas, Alexandra Irani and Alban Thomas
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Jad Chaaban: AUB - American University of Beirut [Beyrouth]
Hala Ghattas: AUB - American University of Beirut [Beyrouth]
Alexandra Irani: AUB - American University of Beirut [Beyrouth]

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Abstract: 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.

Keywords: targeting; food security; economic vulnerability; food aid; refugees (search for similar items in EconPapers)
Date: 2018
Note: View the original document on HAL open archive server: https://hal.science/hal-01889275v1
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Citations: View citations in EconPapers (4)

Published in Food Security, 2018, 10 (2), pp.457-472. ⟨10.1007/s12571-018-0768-5⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01889275

DOI: 10.1007/s12571-018-0768-5

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