Dynamic factor model improves real-time output gap estimates for better policy decisions.
A new method called approximate dynamic factor model can improve the accuracy of estimating the output gap in real time. By analyzing various economic indicators, this model reduces errors caused by data revisions and uneven data arrival. By combining this model with forecasting techniques, the precision of output gap estimates is greatly enhanced, which is important for making timely policy decisions.