Insurance fraud in a Rothschild-Stiglitz world
<?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">MAP20200009337</controlfield>
<controlfield tag="003">MAP</controlfield>
<controlfield tag="005">20220823212501.0</controlfield>
<controlfield tag="008">200323e20200302usa|||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">214</subfield>
</datafield>
<datafield tag="100" ind1=" " ind2=" ">
<subfield code="0">MAPA20080648343</subfield>
<subfield code="a">Martin Boyer, M.</subfield>
</datafield>
<datafield tag="245" ind1="1" ind2="0">
<subfield code="a">Insurance fraud in a Rothschild-Stiglitz world</subfield>
<subfield code="c">M. Martin Boyer, Richard Peter</subfield>
</datafield>
<datafield tag="520" ind1=" " ind2=" ">
<subfield code="a">In this article, we model a competitive insurance market where policyholders privately have information about their probability of accident ex ante and know the state of the world ex post.We combine costly state verification without commitment and arguments from insurance contracting under adverse selection to characterize the resulting allocations. Insurance fraud convexifies the insurer's zero expected profit condition, which can lead to complete unraveling with low risks dropping out of the market. The standard case, however, involves rationing of low risks, which raises their probability of fraud and their success rate when committing it. As a result, adverse selection increases fraud in the economy. We also show that cross-subsidization from low risks to high risks mitigates the fraud externality. Our results highlight that adverse selection and insurance fraud interact in nontrivial ways and have the potential to aggravate each other </subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080591052</subfield>
<subfield code="a">Fraude en el seguro</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080586294</subfield>
<subfield code="a">Mercado de seguros</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20190001342</subfield>
<subfield code="a">Administración de la empresa de seguros</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080592042</subfield>
<subfield code="a">Modelos matemáticos</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2="4">
<subfield code="0">MAPA20080579258</subfield>
<subfield code="a">Cálculo actuarial</subfield>
</datafield>
<datafield tag="650" ind1=" " ind2=" ">
<subfield code="0">MAPA20080541064</subfield>
<subfield code="a">Fraude</subfield>
</datafield>
<datafield tag="700" ind1=" " ind2=" ">
<subfield code="0">MAPA20160007701</subfield>
<subfield code="a">Peter, Richard</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">Nueva York : The American Risk and Insurance Association, 1964-</subfield>
<subfield code="x">0022-4367</subfield>
<subfield code="g">02/03/2020 Volumen 87 Número 1 - marzo 2020 , p. 117-142</subfield>
</datafield>
</record>
</collection>