Modeling and predicting U.S. recessions using machine learning techniques
Spyridon D. Vrontos, John Galakis, Ioannis D. Vrontos
| Year of publication: |
2021
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|---|---|
| Authors: | Vrontos, Spyridon D. ; Galakis, John ; Vrontos, Ioannis D. |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 37.2021, 2, p. 647-671
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| Subject: | Binary Probit/Logit | Classification and regression trees | Forecasting | Penalized likelihood models | Recession | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Konjunktur | Business cycle | USA | United States | Frühindikator | Leading indicator | Regressionsanalyse | Regression analysis | Schätztheorie | Estimation theory | Clusteranalyse | Cluster analysis |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijforecast.2020.08.005 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012792860