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Testing the transparency benefits of inflation targeting: Evidence from private sector forecasts

Listed author(s):
  • Crowe, Christopher

Using inflation forecast data for 11 IT adoption countries, IT adoption is found to promote convergence in forecast errors, suggesting that it enhances transparency. This result, which is subjected to several robustness checks and found to be robust, 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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File URL: http://www.sciencedirect.com/science/article/pii/S0304-3932(09)00184-6
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Article provided by Elsevier in its journal Journal of Monetary Economics.

Volume (Year): 57 (2010)
Issue (Month): 2 (March)
Pages: 226-232

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Handle: RePEc:eee:moneco:v:57:y:2010:i:2:p:226-232
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/505566

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  1. Christopher W. Crowe & Ellen E. Meade, 2008. "Central Bank Independence and Transparency; Evolution and Effectiveness," IMF Working Papers 08/119, International Monetary Fund.
  2. Jeffrey Smith & Petra Todd, 2003. "Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20035, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
  3. Richard Paap & Frank Kleibergen, 2004. "Generalized Reduced Rank Tests using the Singular Value Decomposition," Econometric Society 2004 Australasian Meetings 195, Econometric Society.
  4. Lars E.O. Svensson, 1998. "Inflation Targeting as a Monetary Policy Rule," NBER Working Papers 6790, National Bureau of Economic Research, Inc.
  5. Scott Roger & Mark R. Stone, 2005. "On Target? the International Experience with Achieving Inflation Targets," IMF Working Papers 05/163, International Monetary Fund.
  6. Laurence M. Ball & Niamh Sheridan, 2004. "Does Inflation Targeting Matter?," NBER Chapters, in: The Inflation-Targeting Debate, pages 249-282 National Bureau of Economic Research, Inc.
  7. Lin, Shu & Ye, Haichun, 2007. "Does inflation targeting really make a difference? Evaluating the treatment effect of inflation targeting in seven industrial countries," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2521-2533, November.
  8. Jon Faust & Dale W. Henderson, 2004. "Is inflation targeting best-practice monetary policy?," International Finance Discussion Papers 807, Board of Governors of the Federal Reserve System (U.S.).
  9. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
  10. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
  11. Marco Vega & Diego Winkelried, 2005. "Inflation Targeting and Inflation Behavior: A Successful Story?," Macroeconomics 0502026, EconWPA.
  12. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, Oxford University Press, vol. 119(1), pages 249-275.
  13. Johnson, David R., 2002. "The effect of inflation targeting on the behavior of expected inflation: evidence from an 11 country panel," Journal of Monetary Economics, Elsevier, vol. 49(8), pages 1521-1538, November.
  14. Petra M. Geraats, 2002. "Central Bank Transparency," Economic Journal, Royal Economic Society, vol. 112(483), pages 532-565, November.
  15. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
  16. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 261-294.
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