MODELING AND FORECASTING THE STANDARD OF LIVING AND WELL-BEING OF THE POPULATION
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Abstract
This article examines modeling and forecasting the standard of living and well-being of the population of Uzbekistan using economic-statistical and econometric approaches. The study assessed the relationship between key socioeconomic factors influencing well-being, specifically average wages, unemployment, education expenditures, and the level of digitalization, and GDP per capita using a multivariate regression model. The statistical significance of the model was tested using the coefficient of determination, F-test, and residual diagnostics, and its high accuracy was confirmed. Based on the obtained results, medium-term forecasts were developed, economic and policy conclusions were formulated, and practical recommendations for improving living standards were made.
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References
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