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Testing the Transparency Benefits of Inflation Targeting: Evidence from Private Sector Forecasts Author info | Abstract | Publisher info | Download info | Related research | Statistics Christopher W. Crowe
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I test whether inflation targeting (IT) enhances transparency using inflation forecast data for 11 IT adoption countries. IT adoption promotes convergence in forecast errors, suggesting that it enhances transparency. This effect is robust to dropping observations, is strengthened by using instrumental variable estimation to eliminate mean-reversion, and is absent in placebo regressions (where IT adoption is shifted by a year). This result supports Morris and Shin's (2002) contention that better public information is most beneficial for forecasters with bad private information. However, it does not support their hypothesis that better public information could make private forecasts less accurate.
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Paper provided by International Monetary Fund in its series IMF Working Papers with number
06/289.
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Length: 29 pages
Date of creation: 08 Jan 2007Date of revision:
Handle: RePEc:imf:imfwpa:06/289Contact details of provider: Postal: International Monetary Fund, Washington, DC USA Phone: (202) 623-7000 Fax: (202) 623-4661 Email: Web page: http://www.imf.org/external/pubind.htm More information through EDIRC
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For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Keywords: Inflation targeting ; inflation forecasts ; Central Bank transparency ; propensity score matching ; Inflation targeting ; Inflation ; Economic forecasting ; Central banks ; Transparency ; Private sector ; Forecasting models ; Economic models ; Other versions of this item:
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Full
references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Christopher W. Crowe & Ellen E. Meade, 2008.
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