among the analyzed setups that can be exploited in the forecasting process. …

In this paper we explore the forecasting performances of methods based on a pre-selection of monthly indicators from …

lag polynomial might not only simplify the model estimation, but also improve its forecasting performance. We allow the … forecasting comparison carried out for the U.S. GDP growth show that the models of the MS-U-MIDAS class exhibit nowcasting and … forecasting performances which are similar to or better than those of their counterparts with restricted lag polynomials. …

This paper studies the role of non-pervasive shocks when forecasting with factor models. To this end, we first … model for the idiosyncratic component. Then, we test the forecasting performance of this model both in simulations, and on a …

forecasting average housing prices located in a county nested in a state. When deriving the BLUP, we take into account the spatial …

reduced-form inflation modeling and forecasting, we specify a range of models of inflation that incorporate different trend … specifications. We compare the models on the basis of their accuracies in out-of-sample forecasting, both point and density. Our …