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    Author(s): Ashley Elaine Hungerford; Barry Goodwin
    Date: 2014
    Source: Emerald Group Publishing Limited
    Publication Series: Scientific Journal (JRNL)
    Station: Southern Research Station
    PDF: Download Publication  (313.52 KB)

    Description

    The 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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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Hungerford, Ashley Elaine; Goodwin, Barry. 2014. Big assumptions for small samples in crop insurance. Emerald Group Publishing Limited Vol. 74, Issue 4, p. 477-491.

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    Keywords

    Crop insurance, Bootstrap, Copula, Spatial autocorrelation, Systemic risk, Yield distribution

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https://www.fs.usda.gov/treesearch/pubs/48069