N. Fokin

Models for real-time nowcasting and forecasting of GDP components by expenditure

This paper compares the forecasting performance of advanced machine learning and econometric models: two types of gradient boosting on decision trees (classical and natural), TabNet, one of the most effective neural network architectures for tabular data, a dynamic factor model (DFM), and a Bayesian mixed-frequency vec...