Linear Analysis of National Life Expectancy

Huijia Wang

2022

Abstract

Life expectancy is the most important indicator to measure the population’s health status. It is also a comprehensive indicator to measure a country’s economic and social development and medical and health service level. It is affected by biological factors, environmental factors, lifestyle, and medical and healthcare systems. This study aims to explore how the national life expectation changes and the differences in regions and potential health care systems. The given dataset and related data are for human development reports. There are 185 countries considered in this study. Besides regional factors, many variables affect life expectancy, such as Total fertility rate (FERTILITY), Health expenditure per capita (HEALTHEXPEND), Public expenditure on education (PUBLICEDUCATION) and so on. In this paper, we developed a simple linear model and a multiple regression model using stepwise regression to explore which potential variables have a more significant effect on life expectancy and test the feasibility and plausibility of the model. We find that region, fertility, health care costs, and public expenditure on education significantly affect national life expectancy. Finally, we developed generalized linear models with different linkage functions for comparison and further analysis.

Paper Citation

in Harvard Style

Wang H. (2022). Linear Analysis of National Life Expectancy. In Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME; ISBN 978-989-758-636-1, SciTePress, pages 617-623. DOI: 10.5220/0012040700003620

in Bibtex Style

@conference{icemme22,
author={Huijia Wang},
title={Linear Analysis of National Life Expectancy},
booktitle={Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME},
year={2022},
pages={617-623},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012040700003620},
isbn={978-989-758-636-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME
TI - Linear Analysis of National Life Expectancy
SN - 978-989-758-636-1
AU - Wang H.
PY - 2022
SP - 617
EP - 623
DO - 10.5220/0012040700003620
PB - SciTePress