Nowcasting GDP : A Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies /
This paper describes recent work to strengthen nowcasting capacity at the IMF's European department. It motivates and compiles datasets of standard and nontraditional variables, such as Google search and air quality. It applies standard dynamic factor models (DFMs) and several machine learning...
| Autore principale: | Dauphin, Jean-Francois |
|---|---|
| Altri autori: | Dybczak, Kamil, Maneely, Morgan, Taheri Sanjani, Marzie |
| Natura: | Periodico |
| Lingua: | English |
| Pubblicazione: |
Washington, D.C. :
International Monetary Fund,
2022.
|
| Serie: | IMF Working Papers; Working Paper ;
No. 2022/052 |
| Soggetti: | |
| Accesso online: | Full text available on IMF |
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