Econometric Model Predicts Sudan's GDP Growth with Statistical Precision
The article analyzes the GDP of Sudan using a time series model with macroeconomic variables. Statistical tests were used to make the data stationary, and ARMA and OLS methods were applied. The chosen ARIMA model was verified for accuracy and forecasting performance. The results provide insights into Sudan's GDP trends and forecasting capabilities.