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

Published 12 Sep 2019 in q-fin.RM, stat.AP, and stat.ML | (1909.05501v2)

Abstract: 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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