Estimation of crop yields and insurance premiums using a shrinkage estimator

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<title>Estimation of crop yields and insurance premiums using a shrinkage estimator</title>
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<dateIssued encoding="marc">2018</dateIssued>
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<abstract displayLabel="Summary">We explore the estimation of crop yields and insurance premiums using a hierarchical Bayes small area estimator. The estimator is evaluated for Area Yield Production (AYP) policy using quasi-simulated corn yields in the United States. Its performance in producing reliable mean county yield and premium estimates is compared to that of a naive estimator. We also investigate the impact of these efficiency improvements on the residual losses between a farm-level policy and AYP. The proposed estimator is found to be substantially more efficient and less biased than the naive estimator</abstract>
<note type="statement of responsibility">Sebastain N. Awondo...[et al.]</note>
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<topic>Teorema de Bayes</topic>
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<title>North American actuarial journal</title>
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<publisher>Schaumburg : Society of Actuaries, 1997-</publisher>
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<identifier type="issn">1092-0277</identifier>
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<text>04/06/2018 Tomo 22 Número 2 - 2018 , p. 289-308</text>
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