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Modelling French and Portuguese Mortality Rates with Stochastic Differential Equation Models: A Comparative Study

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  • Daniel dos Santos Baptista

    (Research in Economics and Mathematics (REM), Centre for Applied Mathematics and Economics (CEMAPRE), ISEG—School of Economics and Management, Universidade de Lisboa, 1200-781 Lisbon, Portugal
    These authors contributed equally to this work.)

  • Nuno M. Brites

    (Research in Economics and Mathematics (REM), Centre for Applied Mathematics and Economics (CEMAPRE), ISEG—School of Economics and Management, Universidade de Lisboa, 1200-781 Lisbon, Portugal
    These authors contributed equally to this work.)

Abstract

In recent times, there has been a notable global phenomenon characterized by a double predicament arising from the concomitant rise in worldwide life expectancy and a significant decrease in birth rates. The emergence of this phenomenon has posed a significant challenge for governments worldwide. It not only poses a threat to the continued viability of state-funded welfare programs, such as social security, but also indicates a potential decline in the future workforce and tax revenue, including contributions to social benefits. Given the anticipated escalation of these issues in the forthcoming decades, it is crucial to comprehensively examine the extension of the human lifespan to evaluate the magnitude of this matter. Recent research has focused on utilizing stochastic differential equations as a helpful means of describing the dynamic nature of mortality rates, in order to tackle this intricate issue. The usage of these models proves to be superior to deterministic ones due to their capacity to incorporate stochastic variations within the environment. This enables individuals to gain a more comprehensive understanding of the inherent uncertainty associated with future forecasts. The most important aims of this study are to fit and compare stochastic differential equation models for mortality (the geometric Brownian motion and the stochastic Gompertz model), conducting separate analyses for each age group and sex, in order to generate forecasts of the central mortality rates in France up until the year 2030. Additionally, this study aims to compare the outcomes obtained from fitting these models to the central mortality rates in Portugal. The results obtained from this work are quite promising since both stochastic differential equation models manage to replicate the decreasing central mortality rate phenomenon and provide plausible forecasts for future time and for both populations. Moreover, we also deduce that the performances of the models differ when analyzing both populations under study due to the significant contrast between the mortality dynamics of the countries under study, a consequence of both external factors (such as the effect of historical events on Portuguese and French mortality) and internal factors (behavioral effect).

Suggested Citation

  • Daniel dos Santos Baptista & Nuno M. Brites, 2023. "Modelling French and Portuguese Mortality Rates with Stochastic Differential Equation Models: A Comparative Study," Mathematics, MDPI, vol. 11(22), pages 1-20, November.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:22:p:4648-:d:1280455
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    References listed on IDEAS

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