Búsqueda

An average model approach to experience based premium rates discounts : an application to Spanish agricultural insurance

<?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">MAP20220013208</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20220504102938.0</controlfield>
    <controlfield tag="008">220504e20201207esp|||p      |0|||b|spa 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">329</subfield>
    </datafield>
    <datafield tag="100" ind1="1" ind2=" ">
      <subfield code="0">MAPA20080665937</subfield>
      <subfield code="a">Vilar-Zanón, José L.</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="0">
      <subfield code="a">An average model approach to experience based premium rates discounts</subfield>
      <subfield code="b">: an application to Spanish agricultural insurance</subfield>
      <subfield code="c">José L. Vilar-Zanón, Antonio Heras, Estela de Frutos</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">We address some issues in agricultural insurance, describing drawbacks of the bonus-malus system (BMS) methodology used in Spain and many other EU countries. We develop an alternative experience based premium rate discount system taking into account the adverse years when high losses caused by extreme weather events happen. Our contribution consists of a two-step methodology. Firstly, we use tobit or Tweedie regressions to calculate yearly correction rates. Secondly, we calculate the mean of the correction rates. This average model acts as a buffer against adverse year losses. We compare three alternatives: our two resulting average models and the BMS operating in the Spanish line of business exemplifiedtable grapes.

</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080578213</subfield>
      <subfield code="a">Seguros agrarios</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080579258</subfield>
      <subfield code="a">Cálculo actuarial</subfield>
    </datafield>
    <datafield tag="651" ind1=" " ind2="1">
      <subfield code="0">MAPA20080637736</subfield>
      <subfield code="a">España</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20120018150</subfield>
      <subfield code="a">Heras, Antonio</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20220004558</subfield>
      <subfield code="a">Frutos, Estela de</subfield>
    </datafield>
    <datafield tag="773" ind1="0" ind2=" ">
      <subfield code="w">MAP20220007085</subfield>
      <subfield code="g">07/12/2020 Volúmen 10 - Número 2 - diciembre 2020 , p. 361-375</subfield>
      <subfield code="t">European Actuarial Journal</subfield>
      <subfield code="d">Cham, Switzerland  : Springer Nature Switzerland AG,  2021-2022</subfield>
    </datafield>
  </record>
</collection>