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Validating Migration Responses to Flooding Using Satellite and Vital Registration Data

Author

Listed:
  • Joyce J. Chen
  • Valerie Mueller
  • Yuanyuan Jia
  • Steven Kuo-Hsin Tseng

Abstract

Rainfall measures may be imperfect proxies for floods, given factors such as upstream water balance, proximity to rivers, and topography. We check the robustness of flooding-migration relationships by combining nationally-representative survey data with measures of flooding derived from weather stations, gridded products, and remote sensing tools. Linear probability models reveal that extreme flooding is negatively associated with out-migration. Rainfall-based proxies produce results qualitatively similar to those using the satellite-based measure of inundation, but only the latter is able to discern non-monotonic effects throughout the distribution. Moreover, estimates differ widely across areas, suggesting that households respond differently to rainfall and flooding.

Suggested Citation

  • Joyce J. Chen & Valerie Mueller & Yuanyuan Jia & Steven Kuo-Hsin Tseng, 2017. "Validating Migration Responses to Flooding Using Satellite and Vital Registration Data," American Economic Review, American Economic Association, vol. 107(5), pages 441-445, May.
  • Handle: RePEc:aea:aecrev:v:107:y:2017:i:5:p:441-45
    Note: DOI: 10.1257/aer.p20171052
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    Cited by:

    1. Patrick Lehnert & Michael Niederberger & Uschi Backes-Gellner & Eric Bettinger, 2020. "Proxying Economic Activity with Daytime Satellite Imagery: Filling Data Gaps Across Time and Space," Economics of Education Working Paper Series 0165, University of Zurich, Department of Business Administration (IBW), revised Sep 2022.
    2. Marion Borderon & Kelsea B. Best & Karen Bailey & Doug L. Hopping & Mackenzie Dove & Chelsea L. Cervantes de Blois, 2021. "The risks of invisibilization of populations and places in environment-migration research," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
    3. Tanvir Pavel & Syed Hasan & Nafisa Halim & Pallab Mozumder, 2018. "Natural Hazards and Internal Migration: The Role of Transient versus Permanent Shocks," Working Papers 1806, Florida International University, Department of Economics.
    4. Breanne K. Langlois & Leah Beaulac & Katherine Berry & Oyedolapo Anyanwu & Ryan B. Simpson & Aris Ismanto & Magaly Koch & Erin Coughlan de Perez & Timothy Griffin & Elena N. Naumova, 2023. "Household Flood Severity and Migration Extent in Central Java: Analysis of the Indonesian Family Life Survey," IJERPH, MDPI, vol. 20(9), pages 1-12, May.
    5. Daniel Osberghaus & Christina Demski, 2019. "The causal effect of flood experience on climate engagement: evidence from search requests for green electricity," Climatic Change, Springer, vol. 156(1), pages 191-207, September.
    6. Guglielmo Zappalà, 2023. "Drought Exposure and Accuracy: Motivated Reasoning in Climate Change Beliefs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(3), pages 649-672, August.
    7. Sajid, Osama & Bevis, Leah E.M., 2021. "Flooding and child health: Evidence from Pakistan," World Development, Elsevier, vol. 146(C).
    8. Vito Frontuto & Silvana Dalmazzone & Francesco Salcuni & Alessandro Pezzoli, 2020. "Risk Aversion, Inequality and Economic Evaluation of Flood Damages: A Case Study in Ecuador," Sustainability, MDPI, vol. 12(23), pages 1-17, December.
    9. Barbora Šedová & Lucia Čizmaziová & Athene Cook, 2021. "A meta-analysis of climate migration literature," CEPA Discussion Papers 29, Center for Economic Policy Analysis.
    10. Thiede, Brian C. & Chen, Joyce & Mueller, Valerie & Jia, Yuanyuan & Hultquist, Carolynne, 2020. "It’s Raining Babies? Flooding and Fertility Choices in Bangladesh," SocArXiv cz482, Center for Open Science.
    11. Sajid, Osama, 2023. "Economic and Demographic Effects of Increased Flood Susceptibility: Evidence from Rural India," 2023 Annual Meeting, July 23-25, Washington D.C. 335442, Agricultural and Applied Economics Association.
    12. Cristina Cattaneo & Emanuele Massetti, 2019. "Does Harmful Climate Increase Or Decrease Migration? Evidence From Rural Households In Nigeria," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 1-36, November.
    13. Berenger Djoumessi Tiague, 2023. "Floods, Agricultural Production, and Household Welfare: Evidence from Tanzania," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(2), pages 341-384, June.
    14. Desbureaux, Sébastien & Rodella, Aude-Sophie, 2019. "Drought in the city: The economic impact of water scarcity in Latin American metropolitan areas," World Development, Elsevier, vol. 114(C), pages 13-27.
    15. Zhuldyz Ashikbayeva & Marei Fürstenberg & Timo Kapelari & Albert Pierres & Stephan Thies, 2020. "Household level effects of flooding: Evidence from Thailand," TVSEP Working Papers wp-022, Leibniz Universitaet Hannover, Institute of Development and Agricultural Economics, Project TVSEP.
    16. Michler, Jeffrey D. & Josephson, Anna & Kilic, Talip & Murray, Siobhan, 2022. "Privacy protection, measurement error, and the integration of remote sensing and socioeconomic survey data," Journal of Development Economics, Elsevier, vol. 158(C).
    17. Bimal Kanti Paul & Munshi Khaledur Rahman & Max Lu & Thomas W. Crawford, 2022. "Household Migration and Intentions for Future Migration in the Climate Change Vulnerable Lower Meghna Estuary of Coastal Bangladesh," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    18. Thiede, Brian C. & Robinson, Abbie & Gray, Clark, 2022. "Climatic Variability and Internal Migration in Asia: Evidence from Integrated Census and Survey Microdata," SocArXiv hxv35, Center for Open Science.
    19. Sedova, Barbora & Kalkuhl, Matthias, 2020. "Who are the climate migrants and where do they go? Evidence from rural India," World Development, Elsevier, vol. 129(C).
    20. Jun Li & Di (Andrew) Wu, 2022. "The Price Effect of Drug Price Ceilings: Intended and Unintended Consequences," Management Science, INFORMS, vol. 68(8), pages 5758-5777, August.
    21. Haoyang Lyu & Zengchuan Dong & Mahendran Roobavannan & Jaya Kandasamy & Saket Pande, 2019. "Rural unemployment pushes migrants to urban areas in Jiangsu Province, China," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-12, December.
    22. Josphat Nyoni & Conilloois Gwatirisa & Yvette Nyasha Nyanzira & Martin Dandira & Elias Kandjinga, 2021. "The Plight of Women during and After Floods. A Case Study of the Mbire District, Zimbabwe," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 8(4), pages 44-49, April.
    23. Guglielmo Zappalà, 2022. "Drought exposure and accuracy: Motivated reasoning in climate change beliefs," Working Papers 2022.02, FAERE - French Association of Environmental and Resource Economists.
    24. Arne Wiig & Minhaj Mahmud & Ivar Kolstad & Päivi Lujala & Sosina Bezu, 2020. "Preparing to leave? Household mobility decisions in climate affected areas of coastal Bangladesh," CMI Working Papers 4, CMI (Chr. Michelsen Institute), Bergen, Norway.

    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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