The article examines how macroeconomic indicators of certain European countries have changed over time. The researchers built dynamic factor models to predict these indicators accurately. By analyzing factors like GDP, exports, and debt, they found that their models could forecast future values with less than a 5% error rate. Different model parameters, like the number of factors and lag length, influenced the accuracy of the predictions. The best models excluded external debt for the most accurate forecasts. Overall, the study shows that dynamic factor analysis can help predict economic trends effectively for these countries.