dc.contributor.author | Ellingsen, Jon | |
dc.contributor.author | Larsen, Vegard Høghaug | |
dc.contributor.author | Thorsrud, Leif Anders | |
dc.date.accessioned | 2023-05-24T12:08:56Z | |
dc.date.available | 2023-05-24T12:08:56Z | |
dc.date.created | 2021-10-20T15:20:11Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 0883-7252 | |
dc.identifier.uri | https://hdl.handle.net/11250/3068837 | |
dc.description.abstract | Using a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature, namely the FRED-MD dataset. Focusing on US GDP, consumption and investment growth, our results suggest that the news data contains information not captured by the hard economic indicators, and that the news-based data are particularly informative for forecasting consumption developments. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Wiley | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.subject | Forecasting | en_US |
dc.subject | Machine Learning | en_US |
dc.subject | News | en_US |
dc.subject | Real-time | en_US |
dc.subject | Text data | en_US |
dc.title | News media versus FRED-MD for macroeconomic forecasting | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.volume | 37 | en_US |
dc.source.journal | Journal of applied econometrics | en_US |
dc.source.issue | 1 | en_US |
dc.identifier.doi | 10.1002/jae.2859 | |
dc.identifier.cristin | 1947347 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |