Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks-Reference-Cited by-同舟云学术

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Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks

Published:2022-06 Issue: Volume: Page:
ISSN:0169-2070
Container-title:International Journal of Forecasting
language:en
Short-container-title:International Journal of Forecasting

Author:

Barkan Oren,Benchimol Jonathan^ORCID,Caspi Itamar,Cohen Eliya,Hammer Allon,Koenigstein Noam

Publisher

Elsevier BV

Subject

Business and International Management

Reference47 articles.

1. Nonlinear inflation forecasting with recurrent neural networks;Almosova,2019

2. Forecasting inflation with online prices;Aparicio;International Journal of Forecasting,2020

3. The impact of machine learning on economics;Athey,2018

4. Are phillips curves useful for forecasting inflation?;Atkeson;Federal Reserve Bank of Minneapolis Quarterly Review,2001

5. Inflation targeting: lessons from the international experience;Bernanke,2018

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