Selected logistic models used for extrapolating mortality curves and their application to the Czech population

Demographers are still trying to find a way of modelling the relationship between mortality and age. So far the Gompertz-Makeham function was for a long time universally used for extrapolating mortality curves. But at present it is important to develop new models. This is mainly the fact that there is an improvement in mortality. More and more people live to old age. The second reason is better availability of statistical data. As a result of improving mortality of the oldest persons and better statistical data many new models have emerged. Currently, come to the fore logistic models. In this paper we will present selected logistic models and we will apply them to the data on mortality of the Czech population. The results will be compared with the methodology of the Czech Statistical Office and life expectancy obtained from the mortality tables without extrapolation.