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A unisex stochastic mortality model to comply with EU Gender Directive
Institution:1. Department of Mathematics and Economics, University of Ulm, Germany;2. University of Torino, Italy;3. Collegio Carlo Alberto, Italy;4. CeRP, Italy;1. Centro de Gestión de la Calidad y del Cambio, Universitat Politècnica de València, Spain;2. Cass Business School, City, University of London, United Kingdom;3. Grupo de Sistemas de Optimización Aplicada, Instituto Tecnológico de Informática, Universitat Politècnica de València, Spain;1. Cass Business School, City University London, United Kingdom;2. Pensions Institute, Cass Business School, City University London, United Kingdom;1. Institute of Insurance Science, Ulm University, Helmholtzstr. 20, 89069 Ulm, Germany;2. School of Economics, Fudan University, Guoquan Road 600, 200433 Shanghai, China;1. Department of Bioethics, Clinical Center, National Institutes of Health, Bethesda, MD;2. Bioethics Core, National Human Genome Research Institute, Bethesda, MD
Abstract:EU Gender Directive ruled out discrimination against gender in charging premium for insurance products. This prohibition prevents the use of the standard actuarial fairness principle to price life insurance products. According to current actuarial practice, unisex premiums are calculated with a simple weighting rule of the gender-specific life tables. This procedure is likely to violate portfolio fairness principles. Up to our knowledge, in the actuarial literature there is no unisex mortality model that respects the unisex fairness principle. This paper is the first attempt to fill this gap. First, we recall the notion of unisex fairness principle and the corresponding unisex fair premium. Then, we provide a unisex stochastic mortality model for the mortality intensity that is underlying the pricing of a life portfolio of females and males belonging to the same cohort. Finally, we calibrate the unisex mortality model using the unisex fairness principle. We find that the weighting coefficient between the males’ and females’ own mortalities depends mainly on the quote of portfolio relative to each gender, on the age, and on the type of insurance products. The knowledge of a proper unisex mortality model could help life insurance companies to better understanding the nature of the risk of a mixed portfolio.
Keywords:Actuarial fairness  Unisex tariff  Stochastic mortality intensity  Gender Directive  Life table  Doubly stochastic process
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