Monetary policy decision-making when information search is costly

This paper explores monetary policy decision-making within an insurance model with expected utility-maximizing policy-makers. The authors consider that policy-makers are different in terms of their backgrounds, experience and skills and they may disagree on the appropriate policy response. In a mone...

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Main Authors: Alexander Jung, Francesco Paolo Mongelli
Format: Article
Language:English
Published: LLC "CPC "Business Perspectives" 2016-04-01
Series:Banks and Bank Systems
Online Access:https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/7465/BBS_en_2016_01_Jung.pdf
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author Alexander Jung
Francesco Paolo Mongelli
author_facet Alexander Jung
Francesco Paolo Mongelli
author_sort Alexander Jung
collection DOAJ
description This paper explores monetary policy decision-making within an insurance model with expected utility-maximizing policy-makers. The authors consider that policy-makers are different in terms of their backgrounds, experience and skills and they may disagree on the appropriate policy response. In a monetary policy committee, they share information and decide on interest rates by means of an agreed voting rule. The authors show that, in the presence of risk and search costs, it would be optimal for policy-makers to fully insure against the expected loss from a potential policy error. Whether a monetary policy committee sufficiently hedges against this risk will depend on several factors such as the skills of policy-makers, the distribution of members’ beliefs, and the committee’s (statutory) voting rule, but also on other factors not captured by the model
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spelling doaj.art-8b0de7fd01f74ec7852334bb85b037c02022-12-21T18:51:20ZengLLC "CPC "Business Perspectives"Banks and Bank Systems1816-74031991-70742016-04-01111152210.21511/bbs.11(1).2016.027465Monetary policy decision-making when information search is costlyAlexander Jung0Francesco Paolo Mongelli1Senior Economist at the European Central Bank (Germany)Senior Advisor at the European Central Bank, Honorary Professor at the Frankfurt Goethe University (Germany)This paper explores monetary policy decision-making within an insurance model with expected utility-maximizing policy-makers. The authors consider that policy-makers are different in terms of their backgrounds, experience and skills and they may disagree on the appropriate policy response. In a monetary policy committee, they share information and decide on interest rates by means of an agreed voting rule. The authors show that, in the presence of risk and search costs, it would be optimal for policy-makers to fully insure against the expected loss from a potential policy error. Whether a monetary policy committee sufficiently hedges against this risk will depend on several factors such as the skills of policy-makers, the distribution of members’ beliefs, and the committee’s (statutory) voting rule, but also on other factors not captured by the modelhttps://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/7465/BBS_en_2016_01_Jung.pdf
spellingShingle Alexander Jung
Francesco Paolo Mongelli
Monetary policy decision-making when information search is costly
Banks and Bank Systems
title Monetary policy decision-making when information search is costly
title_full Monetary policy decision-making when information search is costly
title_fullStr Monetary policy decision-making when information search is costly
title_full_unstemmed Monetary policy decision-making when information search is costly
title_short Monetary policy decision-making when information search is costly
title_sort monetary policy decision making when information search is costly
url https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/7465/BBS_en_2016_01_Jung.pdf
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