Journal
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
Volume 52, Issue 8, Pages 1688-1697Publisher
AMER METEOROLOGICAL SOC
DOI: 10.1175/JAMC-D-12-0258.1
Keywords
Central America; Hurricanes; typhoons; Geographic information systems (GIS); Satellite observations; Regression analysis
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Studies of the impact of hurricanes on economic activity typically are restricted to a very aggregate level of analysis because of the lack of spatially disaggregated data. In this paper nightlight satellite imagery is employed as a measure of local economic activity in conjunction with a local proxy for potential hurricane destruction generated from a wind field model to statistically assess the impact of hurricane strikes on local economic growth. The regression results suggest that on average hurricane strikes reduce income growth by around 1.5% at the local level, with no effect beyond the year of the strike. This estimated impact from localized data is more than 2 times that implied by aggregate analyses.
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