Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks
| Year of publication: |
2023
|
|---|---|
| Authors: | Barkan, Oren ; Benchimol, Jonathan ; Caspi, Itamar ; Cohen, Eliya ; Hammer, Allon ; Koenigstein, Noam |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 39.2023, 3, p. 1145-1162
|
| Subject: | Consumer Price Index | Disaggregated Inflation | Gated Recurrent Unit | Inflation Forecasting | Machine Learning | Recurrent Neural Networks | Inflation | Verbraucherpreisindex | Consumer price index | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence |
-
Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks
Barkan, Oren, (2023)
-
Multivariate macroeconomic forecasting : from DSGE and BVAR to artificial neural networks
Tänzer, Alina, (2024)
-
Forecasting CPI inflation under economic policy and geopolitical uncertainties
Sengupta, Shovon, (2025)
- More ...
-
Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks
Barkan, Oren, (2023)
-
Forecasting CPI Inflation Components with Hierarchical Recurrent Neural Networks
Barkan, Oren, (2023)
-
Forecasting CPI inflation components with hierarchical recurrent neural networks
Barkan, Oren, (2021)
- More ...