Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/311029 
Erscheinungsjahr: 
2023
Quellenangabe: 
[Journal:] The Geneva Risk and Insurance Review [ISSN:] 1554-9658 [Volume:] 48 [Issue:] 2 [Publisher:] Palgrave Macmillan [Place:] London [Year:] 2023 [Pages:] 230-259
Verlag: 
Palgrave Macmillan, London
Zusammenfassung: 
This paper evaluates the potential value of a weather index insurance for the agriculture sector in an high income country (Germany). In our theoretical analysis we model an index insurance, a loss-based insurance market as well as a combination of both kinds of insurance and compare the resulting expected utility of a risk averse crop farmer. To find a suitable index, we conduct a panel estimation and evaluate the link between different weather variables and losses of crop farmers in Germany. Following our estimation, mean temperatures in summer have the highest potential for an valuable index insurance. Finally, we simulate the theoretical model using the results from the estimation and using different thresholds for the definition of a NatCat. According to this simulation, index-insurance is more attractive for the lower and more frequently occurring losses and loss-based insurance is more attractive for rare high losses. A combination of both kinds of insurance could be optimal for intermediate cases.
Schlagwörter: 
Weather extremes
Agriculture yields
Insurance
JEL: 
G22
Q14
Q54
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Dokumentart: 
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Dokumentversion: 
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