TITLE:
Test of Ordered Multivariate Discrete Selection Model for Average Life Expectancy
AUTHORS:
Jiwei Liu
KEYWORDS:
Average Life Expectancy, Multivariate Discrete, Ordered Model, Life Grade Prediction
JOURNAL NAME:
Journal of Applied Mathematics and Physics,
Vol.10 No.2,
February
10,
2022
ABSTRACT: At present, there are significant regional differences in average life expectancy among countries in the world. Not only is there a great disparity in average life expectancy, but also the gender difference is positive and negative, and is distributed in a bipolar distribution of “long life in rich countries and short life in poor countries”. This paper analyzes the factors affecting the life grade by using the ordered multivariate discrete selection model and combined with the average life expectancy data of countries all over the world in 2017. The test results show that: 1) The growth of per capita GDP, elderly dependency ratio and the proportion of people using at least basic drinking water services can effectively improve the level of life expectancy; 2) The birth rate has an inhibitory effect on the average life expectancy; 3) Through model comparison, probit model is more suitable for the analysis of this kind of problems than logit model, and the properties of the obtained model are better.