Determinants of Human Development Index (HDI): A Regression Analysis of Economic and Social Indicators

TL;DR

This paper investigates how economic and social factors like GDP, health, and education influence the Human Development Index using regression analysis, identifying key predictors such as GDP, infant mortality, and schooling.

Contribution

It introduces a regression model analyzing multiple variables to determine their impact on HDI, highlighting significant predictors and their relationships.

Findings

GDP per capita positively affects HDI

Infant mortality rate negatively affects HDI

Average years of schooling positively affects HDI

Abstract

This study aims to investigate the factors influencing the Human Development Index (HDI). Five variables-GDP per capita, health expenditure, education expenditure, infant mortality rate (per 1,000 live births), and average years of schooling-were analyzed to develop a regression model assessing their impact on HDI. The results indicate that GDP per capita, infant mortality rate, and average years of schooling are significant predictors of HDI. Specifically, the study finds a positive relationship between GDP per capita and average years of schooling with HDI, while infant mortality rate is negatively associated with HDI.