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• W3130706210 abstract "In modern life insurance, Markov processes in continuous time on a finite or at least countable state space have been over the years an important tool for the modelling of the states of an insured. Motivated by applications in disability insurance, we propose in this paper a model for insurance states based on Markov jump processes with more general state spaces. We use this model to derive a new type of Thiele's differential equation which e.g. allows for a consistent calculation of reserves in disability insurance based on two-parameter continuous time rehabilitation rates." @default.
• W3130706210 created "2021-03-01" @default.
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• W3130706210 date "2021-02-19" @default.
• W3130706210 modified "2023-09-27" @default.
• W3130706210 title "Thiele's Differential Equation Based on Markov Jump Processes with Non-countable State Space" @default.
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• W3130706210 hasPublicationYear "2021" @default.
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