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Disaster Aid Targeting and Self-Reporting Bias: Natural Experimental Evidence from the Philippines

Yuki Higuchi, Nobuhiko Fuwa, Kei Kajisa, Takahiro Sato and Yasuyuki Sawada ()
Additional contact information
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

Abstract: 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
Date: 2018-12
New Economics Papers: this item is included in nep-big and nep-sea
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Journal Article: Disaster Aid Targeting and Self-Reporting Bias: Natural Experimental Evidence from the Philippines (2019) Downloads
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