New model revolutionizes GDP growth forecasting, outperforming traditional methods.
The article presents three papers on macroeconomic modeling. The first paper introduces a model that distinguishes between rational expectation updates and noise corrections in data revisions, allowing for both noise and news simultaneously. The second paper suggests using dynamic factor models to validate economic theories, showing that weak statistical restrictions are better at forecasting than strong behavioral assumptions.