Robust learning stability with operational monetary policy rules
The recent literature examines the conduct of monetary policy in terms of interest rate rules from the viewpoint of imperfect knowledge and learning by economic agents. The stability of the rational expectations equilibrium is taken as a key desideratum for good monetary policy design. Most of this...
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Banco Central de Chile
2019
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oai-20.500.12580-37492021-04-24T11:02:41Z Robust learning stability with operational monetary policy rules Evans, George W. Honkapohja, Seppo, 1951- POLÍTICA MONETARIA TASAS DE INTERÉS The recent literature examines the conduct of monetary policy in terms of interest rate rules from the viewpoint of imperfect knowledge and learning by economic agents. The stability of the rational expectations equilibrium is taken as a key desideratum for good monetary policy design. Most of this literature postulates that agents use least squares or related learning algorithms to carry out real-time estimations of the parameters of their forecast functions as new data become available. Moreover, it is usually assumed that the learning algorithms have a decreasing gain, in the most common case, the gain is the inverse of the sample size so that all data points have equal weights. Use of such a decreasing-gain algorithm makes it possible for learning to converge exactly to the rational expectations equilibrium in environments without structural change. Convergence requires that the equilibrium satisfies a stability condition, known as E-stability. 2019-11-01T00:04:35Z 2019-11-01T00:04:35Z 2009 Artículo 978-956-7421-32-9 https://hdl.handle.net/20.500.12580/3749 eng Series on Central Banking, Analysis, and Economic Policies, no. 13 Attribution-NonCommercial-NoDerivs 3.0 Chile http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ .pdf Sección o Parte de un Documento p. 145-170 application/pdf Banco Central de Chile |
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POLÍTICA MONETARIA TASAS DE INTERÉS |
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POLÍTICA MONETARIA TASAS DE INTERÉS Evans, George W. Honkapohja, Seppo, 1951- Robust learning stability with operational monetary policy rules |
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The recent literature examines the conduct of monetary policy in terms of interest rate rules from the viewpoint of imperfect knowledge and learning by economic agents. The stability of the rational expectations equilibrium is taken as a key desideratum for good monetary policy design. Most of this literature postulates that agents use least squares or related learning algorithms to carry out real-time estimations of the parameters of their forecast functions as new data become available. Moreover, it is usually assumed that the learning algorithms have a decreasing gain, in the most common case, the gain is the inverse of the sample size so that all data points have equal weights. Use of such a decreasing-gain algorithm makes it possible for learning to converge exactly to the rational expectations equilibrium in environments without structural change. Convergence requires that the equilibrium satisfies a stability condition, known as E-stability. |
format |
Artículo |
author |
Evans, George W. Honkapohja, Seppo, 1951- |
author_facet |
Evans, George W. Honkapohja, Seppo, 1951- |
author_sort |
Evans, George W. |
title |
Robust learning stability with operational monetary policy rules |
title_short |
Robust learning stability with operational monetary policy rules |
title_full |
Robust learning stability with operational monetary policy rules |
title_fullStr |
Robust learning stability with operational monetary policy rules |
title_full_unstemmed |
Robust learning stability with operational monetary policy rules |
title_sort |
robust learning stability with operational monetary policy rules |
publisher |
Banco Central de Chile |
publishDate |
2019 |
url |
https://hdl.handle.net/20.500.12580/3749 |
work_keys_str_mv |
AT evansgeorgew robustlearningstabilitywithoperationalmonetarypolicyrules AT honkapohjaseppo1951 robustlearningstabilitywithoperationalmonetarypolicyrules |
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1718346437158240256 |