The article introduces a new method called Structural Factor-Augmented VAR (SFAVAR) to better understand the effects of monetary policy. By combining monetary models with factor analysis, the researchers identified key economic factors like real activity, inflation, and financial markets. They used Bayesian methods to estimate these factors and assess the uncertainty around them. This approach helps give a clearer economic interpretation to the factors, making it easier to see how monetary policy impacts different aspects of the economy.