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| Titel |
Estimation of insurance premiums for coverage against natural disaster risk: an application of Bayesian Inference |
| VerfasserIn |
Y. Paudel, W. J. W. Botzen, J. C. J. H. Aerts |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 13, no. 3 ; Nr. 13, no. 3 (2013-03-20), S.737-754 |
| Datensatznummer |
250018394
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| Publikation (Nr.) |
 copernicus.org/nhess-13-737-2013.pdf |
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| Zusammenfassung |
| This study applies Bayesian Inference to estimate flood risk for 53 dyke ring
areas in the Netherlands, and focuses particularly on the data
scarcity and extreme behaviour of catastrophe risk. The probability density
curves of flood damage are estimated through Monte Carlo simulations. Based
on these results, flood insurance premiums are estimated using two different
practical methods that each account in different ways for an insurer's risk
aversion and the dispersion rate of loss data. This study is of practical
relevance because insurers have been considering the introduction of flood
insurance in the Netherlands, which is currently not generally available. |
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