Predicting Mortality by Causes in the Republic of Bashkortostan Using the Lee-Carter Model

Stud Russ Econ Dev. 2021;32(5):536-548. doi: 10.1134/S1075700721050063. Epub 2021 Sep 23.

Abstract

This paper analyzes and predicts age-sex mortality rates by causes in the Republic of Bashkortostan. The following methods of analysis were used: the Lee-Carter model, singular value decomposition, and ARIMA-modeling. The forecast results suggest that by 2025 the Republic of Bashkortostan will have lower mortality due to malignant neoplasms in all age groups, except for the 70+ group for women and 50+ age groups for men; lower mortality due to diseases of the circulatory system in all age groups for men and higher mortality in 45+ age groups for women; lower mortality due to injuries in all age groups for both sexes; no significant changes in mortality due to respiratory diseases; increased mortality from gastrointestinal diseases for both sexes at all ages, except for children; higher mortality due to infections at 20-54 for men and 20-64 for women; and almost half lower mortality from infections in the age group of 0-4 years for both sexes.

Keywords: ARIMA; Lee–Carter model; forecast; population mortality by causes.