Fluctuating regression coefficients hinder accurate forecasting of social and economic security.
Dynamic regression models are used to forecast social and economic security indicators by considering past trends. However, these models face challenges in selecting and determining indicators, forming accurate models, and predicting regression coefficients. Without proper attention to statistical significance, regression coefficients can fluctuate over time, leading to unreliable forecasts.
