Estimating outstanding claim liabilities : the role of unobserved risk factors

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<dc:creator>Spierdijk, Laura</dc:creator>
<dc:creator>Koning, Ruud H.</dc:creator>
<dc:date>2014-12-01</dc:date>
<dc:description xml:lang="es">Sumario: This article proposes a new method for estimating claim liabilities. Our approach is based on the observation from contract theory that there is information asymmetry between the insurer and the policyholder about the risks incurred by the latter. We show that unobserved heterogeneity allows for a form of experience learning that can reduce this asymmetry, which makes it easier for the insurer to distinguish between high-risk and low-risk claimants. We evaluate our approach in the context of disability insurance for self-employed and show that it results in more accurate best estimates of outstanding claim liabilities.</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/150744.do</dc:identifier>
<dc:language>spa</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Gerencia de riesgos</dc:subject>
<dc:subject xml:lang="es">Mercado de seguros</dc:subject>
<dc:subject xml:lang="es">Responsabilidad por riesgo creado</dc:subject>
<dc:subject xml:lang="es">Factores de riesgo</dc:subject>
<dc:subject xml:lang="es">Estimación</dc:subject>
<dc:subject xml:lang="es">Reclamaciones</dc:subject>
<dc:subject xml:lang="es">Información asimétrica</dc:subject>
<dc:subject xml:lang="es">Seguro de invalidez</dc:subject>
<dc:subject xml:lang="es">Trabajadores autónomos</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Estimating outstanding claim liabilities : the role of unobserved risk factors</dc:title>
<dc:relation xml:lang="es">En: The Journal of risk and insurance. - Nueva York : The American Risk and Insurance Association, 1964- = ISSN 0022-4367. - 01/12/2014 Volumen 81 Número 4 - diciembre 2014 , p. 803-830</dc:relation>
</rdf:Description>
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