Whose inflation rates matter most? : a DSGE model and machine learning approach to monetary policy in the Euro area
Year of publication: |
2023 ; This version: May 31, 2023
|
---|---|
Authors: | Stempel, Daniel ; Zahner, Johannes |
Publisher: |
Frankfurt am Main : Institute for Monetary and Financial Stability, Goethe University Frankfurt |
Subject: | New Keynesian Models | Monetary Policy | European Monetary Union | Neural Networks | Transfer Learning | Geldpolitik | Monetary policy | Eurozone | Euro area | EU-Staaten | EU countries | Neoklassische Synthese | Neoclassical synthesis | Neuronale Netze | Neural networks | Inflationsrate | Inflation rate | Dynamisches Gleichgewicht | Dynamic equilibrium | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory |
Extent: | 1 Online-Ressource (circa 45 Seiten) Illustrationen |
---|---|
Series: | Working paper series / Institute for Monetary and Financial Stability. - Frankfurt am Main : Johann Wolfgang Goethe-Univ., ZDB-ID 2527683-9. - Vol. no. 188 (2023) |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
Language: | English |
Other identifiers: | hdl:10419/273083 [Handle] |
Classification: | E58 - Central Banks and Their Policies ; C45 - Neural Networks and Related Topics ; C53 - Forecasting and Other Model Applications |
Source: | ECONIS - Online Catalogue of the ZBW |
-
DSGE models and machine learning : an application to monetary policy in the euro area
Stempel, Daniel, (2022)
-
DSGE models and machine learning: An application to monetary policy in the euro area
Stempel, Daniel, (2022)
-
Stempel, Daniel, (2023)
- More ...
-
DSGE models and machine learning: An application to monetary policy in the euro area
Stempel, Daniel, (2022)
-
Stempel, Daniel, (2023)
-
Stempel, Daniel, (2023)
- More ...