Forecasting unemployment in the euro area with machine learning
Periklis Gogas, Theophilos Papadimitriou, Emmanouil Sofianos
| Year of publication: |
2022
|
|---|---|
| Authors: | Gkonkas, Periklēs ; Papadimitriou, Theophilos ; Sofianos, Emmanouil |
| Published in: |
Journal of forecasting. - New York, NY : Wiley Interscience, ISSN 1099-131X, ZDB-ID 2001645-1. - Vol. 41.2022, 3, p. 551-566
|
| Subject: | euro area | forecasting | machine learning | random forest | SVM | unemployment rate | Künstliche Intelligenz | Artificial intelligence | Eurozone | Euro area | Prognoseverfahren | Forecasting model | EU-Staaten | EU countries | Arbeitslosigkeit | Unemployment |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1002/for.2824 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013166160