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

Kuldeep Singh

Arkansas Tech University, USA.

Sumanth Cheemalapati

Dakota State University, USA.

Srikanth Reddy RamiReddy

University of Southern Mississippi, USA.

George Kurian

Eastern New Mexico University, USA.

Prathamesh Muzumdar *

University of Texas at Arlington, USA.

Apoorva Muley

People’s University, USA.

*Author to whom correspondence should be addressed.


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.

Keywords: GDP, human development index, regression, infant death per 1000 live births, mean year of schooling


How to Cite

Singh, Kuldeep, Sumanth Cheemalapati, Srikanth Reddy RamiReddy, George Kurian, Prathamesh Muzumdar, and Apoorva Muley. 2025. “Determinants of Human Development Index (HDI): A Regression Analysis of Economic and Social Indicators”. Asian Journal of Economics, Business and Accounting 25 (1):26-34. https://doi.org/10.9734/ajeba/2025/v25i11630.

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