strongly depend on economic releases being inflation- or growth-related. Yet, when forecasters fail to correctly forecast the …

forecast methodology aims at addressing these challenges. The algorithm is said to be “adaptive” insofar as it adapts to the …

We develop a framework to nowcast (and forecast) economic variables with machine learning techniques. We explain how … models to predict real output growth with lower forecast errors than traditional models. By combining multiple machine … learning models into ensembles, we lower forecast errors even further. We also identify measures of variable importance to help …