A neural network ensemble approach for GDP forecasting
Luigi Longo, Massimo Riccaboni, Armando Rungi
| Year of publication: |
2022
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|---|---|
| Authors: | Longo, Luigi ; Riccaboni, Massimo ; Rungi, Armando |
| Published in: |
Journal of economic dynamics & control. - Amsterdam [u.a.] : Elsevier, ISSN 0165-1889, ZDB-ID 717409-3. - Vol. 134.2022, p. 1-29
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| Subject: | Macroeconomic forecasting | Machine learning | Neural networks | Dynamic factor model | COVID-19 crisis | Neuronale Netze | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Coronavirus | Wirtschaftsprognose | Economic forecast | Prognose | Forecast |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.jedc.2021.104278 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013383759