series forecasting models for economic variables. In these models, the reduction of the predictors and the modeling and … forecasting of the response y are carried out in two separate and independent phases. We introduce a potentially more attractive … of widely used macroeconomic series data with one or two sufficient reductions delivering similar forecasting performance …

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

This paper proposes a framework for deriving early-warning models with optimal out-of-sample forecasting properties and … specification with optimal real-time out-of-sample forecasting properties. Third, the paper illustrates how the modeling framework …