-of-sample predictions and forecasting. We identify economic drivers of our machine learning models using a novel framework based on Shapley …

. Nevertheless, their forecasting properties are still barely explored. We fill this gap by comparing the quality of real … priors from a DSGE model. We show that the analyzed DSGE model is relatively successful in forecasting the US economy in the … accurate forecasting power of the DSGE turns out to be similar or better than that of the SPF for all the variables and …

choice of data transformation. - Aggregation ; Forecasting ; Inflation …

Equilibrium (DSGE) models in forecasting the Great Financial Crisis (GFC), focusing on the U.S. While existing models have added a … includes both the financial sector and endogenous housing supply and show that forecasting accuracy significantly improves when … highlight the necessity of combining model extension and housing supply data for accurate forecasting during economic crises. I …

policymaker's preferences, and the forecasting horizons. - Systemic financial crisis ; systemic risk ; Self-Organizing Map (SOM …

improves the performance of discrete choice models in forecasting systemic events. Our framework shows a good out …