Mixed-frequency machine learning : nowcasting and backcasting weekly initial claims with daily internet search volume data
Daniel Borup, David E. Rapach, Erik Christian Montes Schütte
| Year of publication: |
2023
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|---|---|
| Authors: | Borup, Daniel ; Rapach, David E. ; Montes Schütte, Erik Christian |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 39.2023, 3, p. 1122-1144
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| Subject: | Elastic net | Internet search | LASSO | Mixed-frequency data | Neural network | Unemployment insurance | Variable importance | Internet | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Arbeitslosenversicherung | Neuronale Netze | Neural networks | Theorie | Theory | Arbeitsuche | Job search | Schätzung | Estimation |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijforecast.2022.05.005 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014465249