Nowcasting GDP using machine-learning algorithms : a real-time assessment
Adam Richardson, Thomas van Florenstein Mulder, Tuğrul Vehbi
| Year of publication: |
2021
|
|---|---|
| Authors: | Richardson, Adam ; Van Florenstein Mulder, Thomas ; Vehbi, M. Tugrul |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 37.2021, 2, p. 941-948
|
| Subject: | Forecast evaluation | Forecasting practice | Machine learning | Macroeconomic forecasting | Nowcasting | Prognoseverfahren | Forecasting model | Wirtschaftsprognose | Economic forecast | Künstliche Intelligenz | Artificial intelligence | Prognose | Forecast | Frühindikator | Leading indicator | Bruttoinlandsprodukt | Gross domestic product | Algorithmus | Algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijforecast.2020.10.005 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012792884