DSGE models typically use limited data to estimate economic variables, but recent research suggests this may lead to distorted results. A new approach uses a large amount of data to better estimate these models. By applying this method to a monetary model, researchers found that using more information improves the accuracy of estimating key economic parameters and understanding the sources of economic fluctuations.