Dynamic modelling of life table data

SUMMARY In this paper we formulate a dynamic model expressing the human life table data by using the firstpassage-time theory for a stochastic process. The model is derived analytically and then is applied to the mortality data in Belgium and France. A stochastic simulation is also performed for the 'health state function' proposed and the related stochastic paths. Furthermore the implications of the proposed model and the results derived for pension funds and option theory are discussed

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