Using deep (machine) learning to forecast US inflation in the COVID-19 era
Year of publication: |
2024
|
---|---|
Authors: | Stoneman, David ; Duca, John V. |
Published in: |
Journal of forecasting. - New York, NY : Wiley Interscience, ISSN 1099-131X, ZDB-ID 2001645-1. - Vol. 43.2024, 4, p. 894-902
|
Subject: | deep learning | forecasting | inflation | machine learning | Künstliche Intelligenz | Artificial intelligence | Inflation | Prognoseverfahren | Forecasting model | Coronavirus | Prognose | Forecast | Inflationserwartung | Inflation expectations |
-
Deep learning models for inflation forecasting
Theoharidis, Alexandre Fernandes, (2022)
-
What does machine learning say about the drivers of inflation?
Kohlscheen, Emanuel, (2021)
-
Bratu, Mihaela, (2022)
- More ...
-
Making sense of increased synchronization in global house prices
Duca, John V., (2020)
-
Real estate and the great crisis: Lessons for macro-prudential policy
Duca, John V., (2016)
-
The resilience and realignment of house prices in the era of Covid-19*
Duca, John V., (2021)
- More ...