Disaster Aid Targeting and Self-Reporting Bias: Natural Experimental Evidence from the Philippines
Takahiro Sato and
Yasuyuki Sawada ()
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Takahiro Sato: Faculty of Agriculture and Life Science, Hirosaki University
No CIRJE-F-1106, CIRJE F-Series from CIRJE, Faculty of Economics, University of Tokyo
Aid from local governments can play a critical role as a risk-coping device in a postdisaster situation if the recipients have been properly targeted. Combining (i) satellite images (objective information on flood damage), (ii) administrative records (objective information on aid receipt), and (iii) sui generis survey data (self-reported information on damage assessment and aid receipt) on a large-scale flooding in the Philippines, we analyze the accuracy of disaster aid targeting and self-reporting bias in flood damage and aid receipt. We find that damage is over-reported while aid receipt is under-reported, and as a result, the estimated targeting accuracy based on self-reported information is substantially downward-biased.
Pages: 25 pages
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Journal Article: Disaster Aid Targeting and Self-Reporting Bias: Natural Experimental Evidence from the Philippines (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:tky:fseres:2018cf1106
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