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Probabilistic interest rate setting with a shadow board: A description of the pilot project

Author

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  • TIMO HENCKEL
  • SHAUN VAHEY
  • LIZ WAKERLY

Abstract

This study aims to assess the scope for monetary policymakers to aggregate probabilistic interest rate advice. The members of a Shadow Board give probabilistic assessments of the appropriate (target) interest rate for Australia in real time. The pilot project will be running each month from August to December (inclusive) 2011, with the Shadow Board giving advice shortly before each decision by the Reserve Bank of Australia (RBA) Board.

Suggested Citation

  • Timo Henckel & Shaun Vahey & Liz Wakerly, 2011. "Probabilistic interest rate setting with a shadow board: A description of the pilot project," CAMA Working Papers 2011-27, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2011-27
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    File URL: https://cama.crawford.anu.edu.au/sites/default/files/publication/cama_crawford_anu_edu_au/2021-06/27_henckel_vahey_wakerly_2011.pdf
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    References listed on IDEAS

    as
    1. Anne Sofie Jore & James Mitchell & Shaun P. Vahey, 2010. "Combining forecast densities from VARs with uncertain instabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 621-634.
    2. Petra M. Geraats, 2008. "ECB Credibility and Transparency," European Economy - Economic Papers 2008 - 2015 330, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    3. Christian Kascha & Francesco Ravazzolo, 2010. "Combining inflation density forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 231-250.
    4. Anne Sibert, 2006. "Central Banking by Committee," International Finance, Wiley Blackwell, vol. 9(2), pages 145-168, August.
    5. Carin van der Cruijsen & David-Jan Jansen & Jakob de Haan, 2015. "How Much Does the Public Know about the ECB’s Monetary Policy? Evidence from a Survey of Dutch Households," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 169-218, December.
    6. James Mitchell & Stephen G. Hall, 2005. "Evaluating, Comparing and Combining Density Forecasts Using the KLIC with an Application to the Bank of England and NIESR ‘Fan’ Charts of Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 995-1033, December.
    7. Miss Anke Weber, 2010. "Monetary Policy Committees, Learning and Communication," IMF Working Papers 2010/085, International Monetary Fund.
    8. Anne Sibert, 2003. "Monetary Policy Committees: Individual and Collective Reputations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(3), pages 649-665.
    9. Frederic S. Mishkin, 2009. "Monetary Policy Strategy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262513374, December.
    10. Roopesh Ranjan & Tilmann Gneiting, 2010. "Combining probability forecasts," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(1), pages 71-91, January.
    11. Helge Berger & Michael Ehrmann & Marcel Fratzscher, 2011. "Monetary Policy in the Media," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(4), pages 689-709, June.
    12. Dr. James Mitchell, 2005. "Evaluating, comparing and combining density forecasts using the KLIC with an application to the Bank of England and NIESR ÔfanÕ charts of inflation," National Institute of Economic and Social Research (NIESR) Discussion Papers 253, National Institute of Economic and Social Research.
    13. Robert L. Winkler, 1968. "The Consensus of Subjective Probability Distributions," Management Science, INFORMS, vol. 15(2), pages 61-75, October.
    14. Dr. James Mitchell, 2005. "Evaluating, comparing and combining density forecasts using the KLIC with an application to the Bank of England and NIESR ÔfanÕ charts of inflation," National Institute of Economic and Social Research (NIESR) Discussion Papers 253, National Institute of Economic and Social Research.
    15. Petra M. Geraats, 2007. "The Mystique of Central Bank Speak," International Journal of Central Banking, International Journal of Central Banking, vol. 3(1), pages 37-80, March.
    16. Kenneth F. Wallis, 2005. "Combining Density and Interval Forecasts: A Modest Proposal," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 983-994, December.
    17. Carin van der Cruijsen & David-Jan Jansen & Jakob de Haan, 2015. "How Much Does the Public Know about the ECB’s Monetary Policy? Evidence from a Survey of Dutch Households," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 169-218, December.
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