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Big assumptions for small samples in crop insuranceAuthor(s): Ashley Elaine Hungerford; Barry Goodwin
Source: Emerald Group Publishing Limited
Publication Series: Scientific Journal (JRNL)
Station: Southern Research Station
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DescriptionThe purpose of this paper is to investigate the effects of crop insurance premiums being determined by small samples of yields that are spatially correlated. If spatial autocorrelation and small sample size are not properly accounted for in premium ratings, the premium rates may inaccurately reflect the risk of a loss.
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CitationHungerford, Ashley Elaine; Goodwin, Barry. 2014. Big assumptions for small samples in crop insurance. Emerald Group Publishing Limited Vol. 74, Issue 4, p. 477-491.
KeywordsCrop insurance, Bootstrap, Copula, Spatial autocorrelation, Systemic risk, Yield distribution
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