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Forecast disagreement and the anchoring of inflation expectations in the Asia-Pacific Region

In: Globalisation and inflation dynamics in Asia and the Pacific


  • Pierre L Siklos

    (Wilfrid Laurier University and Balsillie School of International Affairs)


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Suggested Citation

  • Pierre L Siklos, 2013. "Forecast disagreement and the anchoring of inflation expectations in the Asia-Pacific Region," BIS Papers chapters,in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 25-40 Bank for International Settlements.
  • Handle: RePEc:bis:bisbpc:70-05

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    References listed on IDEAS

    1. Filardo, Andrew J. & Gordon, Stephen F., 1998. "Business cycle durations," Journal of Econometrics, Elsevier, vol. 85(1), pages 99-123, July.
    2. Ethan Ilzetzki & Carmen M. Reinhart & Kenneth S. Rogoff, 2017. "Exchange Arrangements Entering the 21st Century: Which Anchor Will Hold?," NBER Working Papers 23134, National Bureau of Economic Research, Inc.
    3. Pierre L. Siklos, 1999. "Inflation-target design: changing inflation performance and persistence in industrial countries," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 46-58.
    4. Lars E. O. Svensson, 2006. "Social Value of Public Information: Comment: Morris and Shin (2002) Is Actually Pro-Transparency, Not Con," American Economic Review, American Economic Association, vol. 96(1), pages 448-452, March.
    5. Pierre Siklos, 2011. "Central bank transparency: another look," Applied Economics Letters, Taylor & Francis Journals, vol. 18(10), pages 929-933.
    6. Lahiri, Kajal & Sheng, Xuguang, 2008. "Evolution of forecast disagreement in a Bayesian learning model," Journal of Econometrics, Elsevier, vol. 144(2), pages 325-340, June.
    7. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
    8. Dotsey, Michael & Fujita, Shigeru & Stark, Tom, 2011. "Do Phillips curves conditionally help to forecast inflation?," Working Papers 11-40, Federal Reserve Bank of Philadelphia.
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