Fix effect sur to analyze economic growth in developed and developing countries

This study aims to identify the relationship between population density, inflation, and unemployment rates on human development index, GNP, export-import, urbanization in developed developing countries category using Fix Effect Seemingly Unrelated Regression (FE SUR) with a dummy variable as slope component. research necessitates of model, specifically Panel (Panel model component, due dynamic nature data fact that same set predictor variables explains five response variables. The Panel, variables, can accommodate objectives where SUR explain influence differences characteristics be explained by fixed effect models, exports imports categories results showed 98.46% diversity (human exports, imports, urbanization) could (population rate), while other 1.54% was factors not included model. In addition, show density has significant positive exports. However, there is negative GNP. There are large rate GNP countries, whereas larger compared countries.