Whose inflation rates matter most? A DSGE model and machine learning approach to monetary policy in the Euro area
Year of publication: |
2023
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Authors: | Stempel, Daniel ; Zahner, Johannes |
Publisher: |
Frankfurt a. M. : Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS) |
Subject: | New Keynesian Models | Monetary Policy | European Monetary Union | Neural Networks | Transfer Learning |
Series: | |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1850977593 [GVK] hdl:10419/273083 [Handle] RePEc:zbw:imfswp:188 [RePEc] |
Classification: | E58 - Central Banks and Their Policies ; C45 - Neural Networks and Related Topics ; C53 - Forecasting and Other Model Applications |
Source: |
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Stempel, Daniel, (2023)
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DSGE models and machine learning : an application to monetary policy in the euro area
Stempel, Daniel, (2022)
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DSGE models and machine learning: An application to monetary policy in the euro area
Stempel, Daniel, (2022)
- More ...
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DSGE models and machine learning: An application to monetary policy in the euro area
Stempel, Daniel, (2022)
-
Stempel, Daniel, (2023)
-
Stempel, Daniel, (2023)
- More ...