IDEAS home Printed from https://ideas.repec.org/p/hhs/sunrpe/2010_0011.html
   My bibliography  Save this paper

Sveriges Riksbank's Inflation Interval Forecasts 1999-2005

Author

Listed:

Abstract

Are Sveriges Riksbank's inflation (CPI and KPIX) interval forecasts calibrated in the sense that the intervals cover realised inflation with the stated ex ante coverage probabilities 50, 75 and 90 percent? In total 150 interval forecast 1999:Q2-2005:Q2 are assessed for CPI and KPIX. The main result is that the forecast uncertainty is understated, but there are substantial differences between individual forecast origins and inflation measures.

Suggested Citation

  • Lundholm, Michael, 2010. "Sveriges Riksbank's Inflation Interval Forecasts 1999-2005," Research Papers in Economics 2010:11, Stockholm University, Department of Economics.
  • Handle: RePEc:hhs:sunrpe:2010_0011
    as

    Download full text from publisher

    File URL: http://www2.ne.su.se/paper/wp10_11.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jansson, Per & Vredin, Anders, 2003. "Forecast-Based Monetary Policy: The Case of Sweden," International Finance, Wiley Blackwell, vol. 6(3), pages 349-380, Winter.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lundholm, Michael, 2010. "Are Inflation Forecasts from Major Swedish Forecasters Biased?," Research Papers in Economics 2010:10, Stockholm University, Department of Economics.
    2. Michael Woodford, 2012. "Forecast Targeting as a Monetary Policy Strategy - Policy Rules in Practice," Book Chapters, in: Evan F. Koenig & Robert Leeson & George A. Kahn (ed.), The Taylor Rule and the Transformation of Monetary Policy, chapter 9, Hoover Institution, Stanford University.
    3. Lars E. O. Svensson, 2015. "The Possible Unemployment Cost of Average Inflation below a Credible Target," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 258-296, January.
    4. Woodford, Michael, 2013. "Forward Guidance by Inflation-Targeting Central Banks," CEPR Discussion Papers 9722, C.E.P.R. Discussion Papers.
    5. Michael Woodford, 2005. "Central bank communication and policy effectiveness," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, issue Aug, pages 399-474.
    6. Marco Vega, 2006. "Skewed policy responses and IT in Latin America," Computing in Economics and Finance 2006 61, Society for Computational Economics.
    7. Lars E.O. Svensson, 2006. "The Instrument-Rate Projection under Inflation Targeting: The Norwegian Example," Working Papers 75, Princeton University, Department of Economics, Center for Economic Policy Studies..
    8. Goodhart, Charles, 2005. "The interest rate conditioning assumption," LSE Research Online Documents on Economics 24666, London School of Economics and Political Science, LSE Library.
    9. Goodhart Charles A.E., 2005. "The Monetary Policy Committee's Reaction Function: An Exercise in Estimation," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-42, August.
    10. Svensson, Lars E.O., 2010. "Inflation Targeting," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 22, pages 1237-1302, Elsevier.
    11. Lars E. O. Svensson, 2007. "Optimal inflation Targeting: Further Developments of Inflation Targeting," Central Banking, Analysis, and Economic Policies Book Series, in: Frederic S. Miskin & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Se (ed.),Monetary Policy under Inflation Targeting, edition 1, volume 11, chapter 6, pages 187-225, Central Bank of Chile.
    12. Lars E.O. Svensson, 2015. "Day One Keynote Address: Forward Guidance," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 19-64, September.
    13. repec:rim:rimwps:32-07 is not listed on IDEAS
    14. repec:pri:cepsud:127svensson is not listed on IDEAS
    15. Berg, Claes & Jansson, Per & Vredin, Anders, 2004. "How Useful are Simple Rules for Monetary Policy? The Swedish Experience," Working Paper Series 169, Sveriges Riksbank (Central Bank of Sweden).
    16. Baxa, Jaromír & Horváth, Roman & VaÅ¡Ã­Ä ek, BoÅ™ek, 2014. "How Does Monetary Policy Change? Evidence On Inflation-Targeting Countries," Macroeconomic Dynamics, Cambridge University Press, vol. 18(3), pages 593-630, April.
    17. Charles Goodhart, 2009. "The Interest Rate Conditioning Assumption," International Journal of Central Banking, International Journal of Central Banking, vol. 5(2), pages 85-108, June.
    18. Andersson, Fredrik N. G. & Jonung, Lars, 2019. "The Tyranny of the Tenths. The Rise and Gradual Fall of Forward Guidance in Sweden 2007-2018," Working Papers 2019:14, Lund University, Department of Economics.
    19. Lars E.O. Svensson, 2014. "Forward Guidance," NBER Working Papers 20796, National Bureau of Economic Research, Inc.
    20. Pierre Siklos & Martin Bohl, 2009. "Asset Prices as Indicators of Euro Area Monetary Policy: An Empirical Assessment of Their Role in a Taylor Rule," Open Economies Review, Springer, vol. 20(1), pages 39-59, February.
    21. Leitemo, Kai, 2006. "Targeting inflation by forecast feedback rules in small open economies," Journal of Economic Dynamics and Control, Elsevier, vol. 30(3), pages 393-413, March.
    22. Michael Woodford, 2007. "The Case for Forecast Targeting as a Monetary Policy Strategy," Journal of Economic Perspectives, American Economic Association, vol. 21(4), pages 3-24, Fall.

    More about this item

    Keywords

    Inflation; forecast; interval forecast; forecast uncertainty;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:sunrpe:2010_0011. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/neisuse.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anne Jensen (email available below). General contact details of provider: https://edirc.repec.org/data/neisuse.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.