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

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Listed:
  • Yuki Higuchi

    (Graduate School of Economics, Nagoya City University, Nagoya 467-0802, Japan)

  • Nobuhiko Fuwa

    (Graduate School of Public Policy, The University of Tokyo, Tokyo 113-0033, Japan)

  • Kei Kajisa

    (School of International Politics, Economics and Communication, Aoyama Gakuin University; Tokyo 150-8366, Japan)

  • Takahiro Sato

    (Faculty of Agriculture and Life Science, Hirosaki University, Hirosaki 036-8561, Japan)

  • Yasuyuki Sawada

    (Faculty of Economics, The University of Tokyo, Tokyo 113-0033, Japan)

Abstract

Aid from the government can play a critical role as a risk-coping device in a post-disaster situation if the recipients are properly targeted. We analyze the accuracy of disaster aid targeting and self-reporting bias in disaster damage and aid receipt by combining (i) satellite images (objective information on flood damage), (ii) administrative records (objective information on post-flood aid receipt), and (iii) unique survey data (self-reported information on damage assessment and aid receipt) on a large-scale flooding in 2012 in the Philippines. 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.

Suggested Citation

  • Yuki Higuchi & Nobuhiko Fuwa & Kei Kajisa & Takahiro Sato & Yasuyuki Sawada, 2019. "Disaster Aid Targeting and Self-Reporting Bias: Natural Experimental Evidence from the Philippines," Sustainability, MDPI, vol. 11(3), pages 1-13, February.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:771-:d:202803
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    References listed on IDEAS

    as
    1. David Strömberg, 2007. "Natural Disasters, Economic Development, and Humanitarian Aid," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 199-222, Summer.
    2. David Coady & Margaret Grosh & John Hoddinott, 2004. "Targeting of Transfers in Developing Countries : Review of Lessons and Experience," World Bank Publications - Books, The World Bank Group, number 14902, December.
    3. Yoshito Takasaki, 2011. "Targeting Cyclone Relief within the Village: Kinship, Sharing, and Capture," Economic Development and Cultural Change, University of Chicago Press, vol. 59(2), pages 387-416.
    4. Jayne, Thomas S. & Strauss, John & Yamano, Takashi & Molla, Daniel, 2002. "Targeting of food aid in rural Ethiopia: chronic need or inertia?," Journal of Development Economics, Elsevier, vol. 68(2), pages 247-288, August.
    5. Vivi Alatas & Abhijit Banerjee & Rema Hanna & Benjamin A. Olken & Julia Tobias, 2012. "Targeting the Poor: Evidence from a Field Experiment in Indonesia," American Economic Review, American Economic Association, vol. 102(4), pages 1206-1240, June.
    6. Karthik Muralidharan & Paul Niehaus & Sandip Sukhtankar, 2016. "Building State Capacity: Evidence from Biometric Smartcards in India," American Economic Review, American Economic Association, vol. 106(10), pages 2895-2929, October.
    7. Morris, Saul S. & Neidecker-Gonzales, Oscar & Carletto, Calogero & Munguia, Marcial & Medina, Juan Manuel & Wodon, Quentin, 2002. "Hurricane Mitch and the Livelihoods of the Rural Poor in Honduras," World Development, Elsevier, vol. 30(1), pages 49-60, January.
    8. Masahiro Shoji, 2018. "Religious Fractionalisation and Crimes in Disaster-Affected Communities: Survey Evidence from Bangladesh," Journal of Development Studies, Taylor & Francis Journals, vol. 54(10), pages 1891-1911, October.
    9. Bardhan, Pranab & Mookherjee, Dilip, 2006. "Pro-poor targeting and accountability of local governments in West Bengal," Journal of Development Economics, Elsevier, vol. 79(2), pages 303-327, April.
    10. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    11. Abdulai, Awudu & Barrett, Christopher B. & Hoddinott, John, 2005. "Does food aid Really have disincentive effects? New evidence from sub-Saharan Africa," World Development, Elsevier, vol. 33(10), pages 1689-1704, October.
    12. Alderman, Harold, 2002. "Do local officials know something we don't? Decentralization of targeted transfers in Albania," Journal of Public Economics, Elsevier, vol. 83(3), pages 375-404, March.
    13. Morris, Saul S. & Wodon, Quentin, 2003. "The Allocation of Natural Disaster Relief Funds: Hurricane Mitch in Honduras," World Development, Elsevier, vol. 31(7), pages 1279-1289, July.
    14. Rema Hanna & Benjamin A. Olken, 2018. "Universal Basic Incomes vs. Targeted Transfers: Anti-Poverty Programs in Developing Countries," NBER Working Papers 24939, National Bureau of Economic Research, Inc.
    15. Yujiro Hayami & Masao Kikuchi, 2000. "A Rice Village Saga," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-59918-5, September.
    16. Rasmus Heltberg & Ana Mar�a Oviedo & Faiyaz Talukdar, 2015. "What do Household Surveys Really Tell Us about Risk, Shocks, and Risk Management in the Developing World?," Journal of Development Studies, Taylor & Francis Journals, vol. 51(3), pages 209-225, March.
    17. Sawada, Yasuyuki & Higuchi, Yuki & Kajisa, Kei & Fuwa, Nobuhiko & Marciano, Esther B. & Estudillob, Jonna P., 2012. "The East Laguna Village: Four Decades of Studies in a Filipino Village," PRIMCED Discussion Paper Series 18, Institute of Economic Research, Hitotsubashi University.
    18. Rema Hanna & Benjamin A. Olken, 2018. "Universal Basic Incomes versus Targeted Transfers: Anti-Poverty Programs in Developing Countries," Journal of Economic Perspectives, American Economic Association, vol. 32(4), pages 201-226, Fall.
    19. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    20. Samia Amin & Markus Goldstein, 2008. "Data Against Natural Disasters : Establishing Effective Systems for Relief, Recovery, and Reconstruction," World Bank Publications - Books, The World Bank Group, number 6511, December.
    21. Daniel P. Aldrich & Sothea Oum & Yasuyuki Sawada (ed.), 2015. "Resilience and Recovery in Asian Disasters," Risk, Governance and Society, Springer, edition 127, number 978-4-431-55022-8, March.
    22. Galasso, Emanuela & Ravallion, Martin, 2005. "Decentralized targeting of an antipoverty program," Journal of Public Economics, Elsevier, vol. 89(4), pages 705-727, April.
    23. Ilan Noy & Rio Yonson, 2018. "Economic Vulnerability and Resilience to Natural Hazards: A Survey of Concepts and Measurements," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    24. Matthew E. Kahn, 2005. "The Death Toll from Natural Disasters: The Role of Income, Geography, and Institutions," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 271-284, May.
    25. Kennickell, Arthur B & Starr-McCluer, Martha, 1997. "Retrospective Reporting of Household Wealth: Evidence from the 1983-1989 Survey of Consumer Finances," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 452-463, October.
    26. John Gibson & Bonggeun Kim, 2007. "Measurement Error in Recall Surveys and the Relationship between Household Size and Food Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 473-489.
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    Cited by:

    1. Yusuke Kuroishi & Yasuyuki Sawada, 2019. "On the Stability of Preferences:Experimental Evidence from Two Disasters," CIRJE F-Series CIRJE-F-1130, CIRJE, Faculty of Economics, University of Tokyo.

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    More about this item

    Keywords

    disaster; flood; Habagat; aid targeting; self-reporting bias; Philippines;
    All these keywords.

    JEL classification:

    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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