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Project Citation: 

Chen, Joyce J., Mueller, Valerie, Jia, Yuanyuan, and Tseng, Steven Kuo-Hsin. Replication data for: Validating Migration Responses to Flooding Using Satellite and Vital Registration Data. Nashville, TN: American Economic Association [publisher], 2017. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12.

Project Description

Summary:  View help for Summary 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.

Scope of Project

JEL Classification:  View help for JEL Classification
      D12 Consumer Economics: Empirical Analysis
      J11 Demographic Trends, Macroeconomic Effects, and Forecasts
      O13 Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products
      O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration
      Q54 Climate; Natural Disasters and Their Management; Global Warming

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