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Economic damages due to extreme precipitation during tropical storms: evidence from Jamaica

Author

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  • Dino Collalti

    (University of Bern)

  • Eric Strobl

    (University of Bern)

Abstract

This study investigates economic damage risk due to extreme rainfall during tropical storms in Jamaica. To this end, remote sensing precipitation data are linked to regional damage data for five storms. Extreme value modelling of precipitation is combined with an estimated damage function and satellite-derived nightlight intensity to estimate local risk in monetary terms. The results show that variation in maximum rainfall during a storm significantly contributes to parish level damages even after controlling for local wind speed. For instance, the damage risk for a 20 year rainfall event in Jamaica is estimated to be at least 238 million USD, i.e. about 1.5% of Jamaica’s yearly GDP.

Suggested Citation

  • Dino Collalti & Eric Strobl, 2022. "Economic damages due to extreme precipitation during tropical storms: evidence from Jamaica," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(3), pages 2059-2086, February.
    • Handle: RePEc:spr:nathaz:v:110:y:2022:i:3:d:10.1007_s11069-021-05025-9
    DOI: 10.1007/s11069-021-05025-9
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    Cited by:

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    2. Cheila Avalon Cullen & Rafea Al Suhili, 2023. "Assessing Rainfall Variability in Jamaica Using CHIRPS: Techniques and Measures for Persistence, Long and Short-Term Trends," Geographies, MDPI, vol. 3(2), pages 1-23, May.
    3. Cavallo, Eduardo A. & Gómez, Santiago & Noy, Ilan & Strobl, Eric, 2024. "Climate Change, Hurricanes, and Sovereign Debt in the Caribbean Basin," IDB Publications (Working Papers) 13351, Inter-American Development Bank.

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