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- W2096004071 abstract "Abstract Crop insurance is similar to flood and hurricane insurance in that spatially correlated weather tends to cause violations of the independence assumption. Ideally, one would seek to pool uncorrelated risk drawn from the same distribution in crop insurance. This article proposes a testing procedure for the cross‐sectional pooling of group units, and empirically analyzes whether the proposed test improves out‐of‐sample rating performance. We utilize a balanced panel of U.S. county‐level corn yields for 510 counties, and the results of an out‐of‐sample crop insurance rating performance exercise provide economic significance to the proposed pooling methodology and results." @default.
- W2096004071 created "2016-06-24" @default.
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- W2096004071 date "2013-11-18" @default.
- W2096004071 modified "2023-10-02" @default.
- W2096004071 title "Spatial Pattern of Yield Distributions: Implications for Crop Insurance" @default.
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- W2096004071 doi "https://doi.org/10.1093/ajae/aat085" @default.
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