Mortality rate forecasting: can recurrent neural networks beat the Lee-Carter model?

09/12/2019
by   Gábor Petneházi, et al.
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This article applies a long short-term memory recurrent neural network to mortality rate forecasting. The model can be trained jointly on the mortality rate history of different countries, ages, and sexes. The RNN-based method seems to outperform the popular Lee-Carter model.

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