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Insurance fraud in a Rothschild-Stiglitz world

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<title>Insurance fraud in a Rothschild-Stiglitz world</title>
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<dateIssued encoding="marc">2020</dateIssued>
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<abstract displayLabel="Summary">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 </abstract>
<note type="statement of responsibility">M. Martin Boyer, Richard Peter</note>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080591052">
<topic>Fraude en el seguro</topic>
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<topic>Mercado de seguros</topic>
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<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20190001342">
<topic>Administración de la empresa de seguros</topic>
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<topic>Modelos matemáticos</topic>
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<topic>Cálculo actuarial</topic>
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<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080541064">
<topic>Fraude</topic>
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<classification authority="">214</classification>
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<title>The Journal of risk and insurance</title>
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<publisher>Nueva York : The American Risk and Insurance Association, 1964-</publisher>
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<identifier type="issn">0022-4367</identifier>
<identifier type="local">MAP20077000727</identifier>
<part>
<text>02/03/2020 Volumen 87 Número 1 - marzo 2020 , p. 117-142</text>
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