Forecasting fiscal crises in emerging markets and low-income countries with machine learning models
Raffaele De Marchi, Alessandro Moro
| Year of publication: |
2024
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|---|---|
| Authors: | De Marchi, Raffaele ; Moro, Alessandro |
| Published in: |
Open economies review. - Dordrecht [u.a.] : Springer Science + Business Media B.V, ISSN 1573-708X, ZDB-ID 1478937-1. - Vol. 35.2024, 1, p. 189-213
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| Subject: | Debt sustainability | Emerging and low-income countries | Fiscal crises | Machine learning techniques | Entwicklungsländer | Developing countries | Schwellenländer | Emerging economies | Künstliche Intelligenz | Artificial intelligence | Öffentliche Schulden | Public debt | Finanzpolitik | Fiscal policy | Prognoseverfahren | Forecasting model | Finanzkrise | Financial crisis |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s11079-023-09722-9 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014515759