Publication Details
Abstract
This study applies econometric modeling to evaluate the efficiency of decision-making in local government institutions, using Namangan region as a case study. Based on socio-economic data for 2018–2025, key indicators such as decisions adopted, poverty, unemployment, job creation, and infrastructure access were analyzed. Regression models were developed using the least squares method, and their validity was tested through Student’s t-test, Fisher’s F-test, and the coefficient of determination (R²). The results reveal strong relationships between decision-making efficiency and socio-economic factors. Forecasts for 2026–2030 indicate continued improvement in regional development. The study confirms that econometric approaches provide a reliable basis for evidence-based local governance and policy planning.