Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks
- DOI
- 10.1016/j.ijforecast.2022.04.009
- Published
- 2023-07
- Container
- International Journal of Forecasting
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijforecast.2022.04.009,
title = {Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks},
author = {Oren Barkan and Jonathan Benchimol and Itamar Caspi and Eliya Cohen and Allon Hammer and Noam Koenigstein},
year = {2023},
journal = {International Journal of Forecasting},
doi = {10.1016/j.ijforecast.2022.04.009},
url = {https://doi.org/10.1016/j.ijforecast.2022.04.009}
}RIS
TY - JOUR TI - Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks AU - Oren Barkan AU - Jonathan Benchimol AU - Itamar Caspi AU - Eliya Cohen AU - Allon Hammer AU - Noam Koenigstein PY - 2023 JO - International Journal of Forecasting DO - 10.1016/j.ijforecast.2022.04.009 UR - https://doi.org/10.1016/j.ijforecast.2022.04.009 ER -
APA
Barkan, O., Benchimol, J., Caspi, I., Cohen, E., Hammer, A., & Koenigstein, N. (2023). Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks. International Journal of Forecasting. https://doi.org/10.1016/j.ijforecast.2022.04.009
Source records
- crossref · retrieved 2026-09-25T12:47:15.073Z