Output gap revisions can be large even after many years. Real‐time reliability tests might therefore be sensitive to the choice of the final output gap vintage that the real‐time estimates are compared to. This is the case for the Federal Reserve's output gap. When accounting for revisions...

Modeling and predicting extreme movements in GDP is notoriously difficult, and the selection of appropriate covariates and/or possible forms of nonlinearities are key in obtaining precise forecasts. In this paper, our focus is on using large datasets in quantile regression models to forecast the...