Unemployment rate forecasting : a hybrid approach
Tanujit Chakraborty, Ashis Kumar Chakraborty, Munmun Biswas, Sayak Banerjee, Shramana Bhattacharya
| Year of publication: |
2021
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|---|---|
| Authors: | Chakraborty, Tanujit ; Chakraborty, Ashis Kumar ; Biswas, Munmun ; Banerjee, Sayak ; Bhattacharya, Shramana |
| Published in: |
Computational economics. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9974, ZDB-ID 1477445-8. - Vol. 57.2021, 1, p. 183-201
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| Subject: | Unemployment rate | ARIMA model | Autoregressive neural networks | Hybrid model | Asymptotic stationarity | Arbeitslosigkeit | Unemployment | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Theorie | Theory | Zeitreihenanalyse | Time series analysis | ARMA-Modell | ARMA model |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10614-020-10040-2 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012486888