Forecasting Spanish economic activity in times of COVID-19 by means of the RT-LEI and machine learning techniques
Carlos Poza and Manuel Monge
| Year of publication: |
2023
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|---|---|
| Authors: | Poza, Carlos ; Monge González, Manuel |
| Published in: |
Applied economics letters. - New York, NY : Routledge, ISSN 1466-4291, ZDB-ID 1484783-8. - Vol. 30.2023, 4, p. 472-477
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| Subject: | business cycle | fractional integration | Google Trends | Leading economic indicators | machine learning | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Wirtschaftsindikator | Economic indicator | Coronavirus | Spanien | Spain | Konjunktur | Business cycle | Zeitreihenanalyse | Time series analysis | Frühindikator | Leading indicator |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/13504851.2021.1994122 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013553654