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Replication data for: Validating Migration Responses to Flooding Using Satellite and Vital Registration Data

Version
V0
Resource Type
Dataset
Creator
  • Chen, Joyce J.
  • Mueller, Valerie
  • Jia, Yuanyuan
  • Tseng, Steven Kuo-Hsin
Publication Date
2017-05-01
Description
  • 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.
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/aer.p20171052 (Text)
Publications
  • Chen, Joyce J., Valerie Mueller, Yuanyuan Jia, and Steven Kuo-Hsin Tseng. “Validating Migration Responses to Flooding Using Satellite and Vital Registration Data.” American Economic Review 107, no. 5 (May 2017): 441–45. https://doi.org/10.1257/aer.p20171052.
    • ID: 10.1257/aer.p20171052 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-12

Chen, Joyce J.; Mueller, Valerie; Jia, Yuanyuan; Tseng, Steven Kuo-Hsin (2017): Replication data for: Validating Migration Responses to Flooding Using Satellite and Vital Registration Data. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E113509