Búsqueda

Selection bias and auditing policies for insurance claims

<?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>00000nab a2200000 i 4500</leader>
    <controlfield tag="001">MAP20071509069</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20080418130229.0</controlfield>
    <controlfield tag="007">hzruuu---uuuu</controlfield>
    <controlfield tag="008">071213s2007    usa||||    | |000|0|eng d</controlfield>
    <datafield tag="040" ind1=" " ind2=" ">
      <subfield code="a">MAP</subfield>
      <subfield code="b">spa</subfield>
    </datafield>
    <datafield tag="084" ind1=" " ind2=" ">
      <subfield code="a">6</subfield>
    </datafield>
    <datafield tag="100" ind1="1" ind2=" ">
      <subfield code="0">MAPA20080081256</subfield>
      <subfield code="a">Pinquet, Jean</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="0">
      <subfield code="a">Selection bias and auditing policies for insurance claims</subfield>
      <subfield code="c">Jean Pinquet, Mercedes Ayuso, Montserrat Guillén</subfield>
    </datafield>
    <datafield tag="520" ind1="8" ind2=" ">
      <subfield code="a">This article presents a statistical approach that counteracts selection bias without using a random auditing strategy. A two-equation model for audit and fraud (a bivariate probit model with censoring) was estimated on a sample of suspicious claims for the experts was left free to take the audit decision. The expected overestimation of fraud risk derived from a single-equation model was corrected. Results were rather close to those obtained with a random auditing strategy, at the expense of some instability with respect to the regression components set. </subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="1">
      <subfield code="0">MAPA20080567118</subfield>
      <subfield code="a">Reclamaciones</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="1">
      <subfield code="0">MAPA20080591052</subfield>
      <subfield code="a">Fraude en el seguro</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="1">
      <subfield code="0">MAPA20080603779</subfield>
      <subfield code="a">Seguro de automóviles</subfield>
    </datafield>
    <datafield tag="650" ind1="1" ind2="1">
      <subfield code="0">MAPA20080592042</subfield>
      <subfield code="a">Modelos matemáticos</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="1">
      <subfield code="0">MAPA20080602437</subfield>
      <subfield code="a">Matemática del seguro</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20080344511</subfield>
      <subfield code="a">Ayuso Gutiérrez, Mercedes</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20080360160</subfield>
      <subfield code="a">Guillén Estany, Montserrat</subfield>
    </datafield>
    <datafield tag="740" ind1="4" ind2=" ">
      <subfield code="a">The Journal of risk and insurance</subfield>
    </datafield>
    <datafield tag="773" ind1="0" ind2=" ">
      <subfield code="w">MAP20077000727</subfield>
      <subfield code="t">The Journal of risk and insurance</subfield>
      <subfield code="d">Orlando</subfield>
      <subfield code="g">Vol. 74, nº 2, 2007 ;  p. 425-440</subfield>
    </datafield>
  </record>
</collection>