Updating Bonus Malus indexing mechanism to adjust long-term health insurance premiums

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<dc:creator>Kanani Dizaji, Atefeh</dc:creator>
<dc:creator>Payandeh Najafabadi, Amir T.</dc:creator>
<dc:date>2023-09-06</dc:date>
<dc:description xml:lang="es">Sumario: Economic shocks, high inflation, longevity, and new emerging technologies make the long-term health care insurance challenging for insurers. To overcome this problem, an indexing mechanism has been employed to update predicted premiums based on the new information in hand. Such indexing mechanisms have thus far failed to consider the available policyholder's risk experience at its updating time. This article employs the well-known bonusmalus system to introduce a bonusmalus indexing mechanism that takes into account the policyholder's risk experience in its updating mechanism. More precisely, it uses the bonusmalus system's idea to update the premium of each policyholder based upon her or his risk experience as well as updated inflation. The theoretical foundation of this approach has been developed and its practical implementation is shown through a simulation study</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/184219.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Empresas de seguros</dc:subject>
<dc:subject xml:lang="es">Asistencia sanitaria</dc:subject>
<dc:subject xml:lang="es">Percepción del riesgo</dc:subject>
<dc:subject xml:lang="es">Primas de seguros</dc:subject>
<dc:subject xml:lang="es">Simulación</dc:subject>
<dc:subject xml:lang="es">Métodos de análisis</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Updating Bonus Malus indexing mechanism to adjust long-term health insurance premiums</dc:title>
<dc:relation xml:lang="es">En: North American actuarial journal. - Schaumburg : Society of Actuaries, 1997- = ISSN 1092-0277. - 06/09/2023 Tomo 27 Número 3 - 2023 , 15 p.</dc:relation>
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