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The role of central bank transparency for guiding private sector forecasts

Michael Ehrmann, Sylvester Eijffinger and Marcel Fratzscher

No 1146, Working Paper Series from European Central Bank

Abstract: There is a broad consensus in the literature that costs of information processing and acquisition may generate costly disagreements in expectations among economic agents, and that central banks may play a central role in reducing such dispersion in expectations. This paper analyses empirically whether enhanced central bank transparency lowers dispersion among professional forecasters of key economic variables, using a large set of proxies for central bank transparency in 12 advanced economies. It finds evidence for a significant and sizeable effect of central bank transparency on forecast dispersion, be it by means of announcing a quantified inflation objective, other forms of communication, or by publishing central banks’ inflation and output forecasts. However, there also appear to be limits to central bank transparency, with decreasing marginal returns to enhancing (economic) transparency, and given our findings that disagreement among inflation expectations in the general public is not affected by the various central bank transparency measures analyzed in this paper. JEL Classification: E37, E52, C53

Keywords: central bank communication; central banking; disagreement; forecasting; inflation targeting; monetary policy; survey expectations; transparency (search for similar items in EconPapers)
Date: 2010-01
New Economics Papers: this item is included in nep-cba, nep-eec, nep-for, nep-mac and nep-mon
Note: 203739
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

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Related works:
Journal Article: The Role of Central Bank Transparency for Guiding Private Sector Forecasts (2012) Downloads
Working Paper: The Role of Central Bank Transparency for Guiding Private Sector Forecasts (2010) Downloads
Working Paper: The role of central bank transparency for guiding private sector forecasts (2009) Downloads
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