Estimation of crop yields and insurance premiums using a shrinkage estimator
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
<record>
<leader>00000cab a2200000 4500</leader>
<controlfield tag="001">MAP20180025761</controlfield>
<controlfield tag="003">MAP</controlfield>
<controlfield tag="005">20180830121800.0</controlfield>
<controlfield tag="008">180808e20180601usa|||p |0|||b|eng d</controlfield>
<datafield tag="040" ind1=" " ind2=" ">
<subfield code="a">MAP</subfield>
<subfield code="b">spa</subfield>
<subfield code="d">MAP</subfield>
</datafield>
<datafield tag="084" ind1=" " ind2=" ">
<subfield code="a">6</subfield>
</datafield>
<datafield tag="245" ind1="1" ind2="0">
<subfield code="a">Estimation of crop yields and insurance premiums using a shrinkage estimator</subfield>
<subfield code="c">Sebastain N. Awondo...[et al.]</subfield>
</datafield>
<datafield tag="520" ind1=" " ind2=" ">
<subfield code="a">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</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20100065242</subfield>
<subfield code="a">Teorema de Bayes</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080581886</subfield>
<subfield code="a">Primas de seguros</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080597733</subfield>
<subfield code="a">Modelos estadísticos</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080602437</subfield>
<subfield code="a">Matemática del seguro</subfield>
</datafield>
<datafield tag="651" ind1=" " ind2="1">
<subfield code="0">MAPA20080638337</subfield>
<subfield code="a">Estados Unidos</subfield>
</datafield>
<datafield tag="700" ind1=" " ind2=" ">
<subfield code="0">MAPA20180012051</subfield>
<subfield code="a">Awondo, Sebastain N.</subfield>
</datafield>
<datafield tag="773" ind1="0" ind2=" ">
<subfield code="w">MAP20077000239</subfield>
<subfield code="t">North American actuarial journal</subfield>
<subfield code="d">Schaumburg : Society of Actuaries, 1997-</subfield>
<subfield code="x">1092-0277</subfield>
<subfield code="g">04/06/2018 Tomo 22 Número 2 - 2018 , p. 289-308</subfield>
</datafield>
</record>
</collection>