Abstract

This study examines the effect of income, education and health on the gross domestic product found in several countries in the European continent. The study was conducted in 32 countries where data collection was carried out by combining secondary data from European databases. This study aims to analyze and prove that there is an effect of income, education and health levels on gross domestic product. To analyze and prove the hypothesis, empirical testing is carried out with Smart PLS 3.0. The method used is to analyze three years of data, from 2014 to 2016. In this study, national income, education quality, and health care expenditure are placed in independent variables which are denoted as x1, x2, and x3 then for gross domestic product (GDP) are placed in the variable dependent which is denoted by y. The results showed that all independent variables had an effect on the dependent variable.