Supplementary file 1_Statistical and machine learning analysis of fiscal and monetary policy determinants of human development in high-HDI countries.docx

This study investigates the relationships between fiscal, monetary, and socioeconomic indicators and the Human Development Index (HDI) using cross-sectional data from 49 high-HDI countries. By integrating interpretable statistical methods with machine learning techniques, the study aims to identify the key determinants of human development and provide evidence to support effective policy- making.</p>Methods<p>A comprehensive analytical framework was developed using correlation analy- sis, Ordinary Least Squares (OLS) regression, suppression effect analysis, and machine learning (ML) techniques.

The analysis examined the relationships between HDI and a range of macroeconomic and socioeconomic variables, including gross domestic product (GDP), GDP per capita, inflation, debt-to-GDP ratio, interest rates, unemployment, average income tax rates, life expectancy, and years of education.</p>Results<p>The results demonstrate that GDP per capita, life expectancy, and educational attainment are the strongest predictors of HDI among high-HDI countries.