<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "A Neural Network Ensemble Approach for GDP\r\nForecasting"^^ . "We propose an ensemble learning methodology to forecast the future US GDP\r\ngrowth release. Our approach combines a Recurrent Neural Network (RNN) with\r\na Dynamic Factor model accounting for time-variation in mean with a General-\r\nized Autoregressive Score (DFM-GAS). The analysis is based on a set of predictors\r\nencompassing a wide range of variables measured at different frequencies. The\r\nforecast exercise is aimed at evaluating the predictive ability of each model's com-\r\nponent of the ensemble by considering variations in mean, potentially caused by\r\nrecessions affecting the economy. Thus, we show how the combination of RNN and\r\nDFM-GAS improves forecasts of the US GDP growth rate in the aftermath of the\r\n2008-09 global financial crisis. We find that a neural network ensemble markedly\r\nreduces the root mean squared error for the short-term forecast horizon."^^ . "2021-03" . . "2" . . . . . . . . . . . . "Massimo"^^ . "Riccaboni"^^ . "Massimo Riccaboni"^^ . . "Armando"^^ . "Rungi"^^ . "Armando Rungi"^^ . . "Luigi"^^ . "Longo"^^ . "Luigi Longo"^^ . . . . . . "A Neural Network Ensemble Approach for GDP\r\nForecasting (PDF)"^^ . . . . . . "WP_EIC_2_2021.pdf"^^ . . "HTML Summary of #4081 \n\nA Neural Network Ensemble Approach for GDP \nForecasting\n\n" . "text/html" . . . "HA Statistics"@en . . . "HB Economic Theory"@en . .