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Measuring disagreement in UK consumer and central bank inflation forecasts

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  • Richhild Moessner
  • Feng Zhu
  • Colin Ellis

Abstract

We provide a new perspective on disagreement in inflation expectations by examining the full probability distributions of UK consumer inflation forecasts based on an adaptive bootstrap multimodality test. Furthermore, we compare the inflation forecasts of the Bank of England's Monetary Policy Committee (MPC) with those of UK consumers, for which we use data from the 2001-2007 February GfK NOP consumer surveys. Our analysis indicates substantial disagreement among UK consumers, and between the MPC and consumers, concerning one-year- ahead inflation forecasts. Such disagreement persisted throughout the sample, with no signs of convergence, consistent with consumers' inflation expectations not being "well-anchored" in the sense of matching the central bank's expectations. UK consumers had far more diverse views about future inflation than the MPC. It is possible that the MPC enjoyed certain information advantages which allowed it to have a narrower range of inflation forecasts.

Suggested Citation

  • Richhild Moessner & Feng Zhu & Colin Ellis, 2011. "Measuring disagreement in UK consumer and central bank inflation forecasts," BIS Working Papers 339, Bank for International Settlements.
  • Handle: RePEc:bis:biswps:339
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    References listed on IDEAS

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    1. Leduc, Sylvain & Sill, Keith & Stark, Tom, 2007. "Self-fulfilling expectations and the inflation of the 1970s: Evidence from the Livingston Survey," Journal of Monetary Economics, Elsevier, vol. 54(2), pages 433-459, March.
    2. Ang, Andrew & Bekaert, Geert & Wei, Min, 2007. "Do macro variables, asset markets, or surveys forecast inflation better?," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1163-1212, May.
    3. N. Gregory Mankiw & Ricardo Reis & Justin Wolfers, 2004. "Disagreement about Inflation Expectations," NBER Chapters, in: NBER Macroeconomics Annual 2003, Volume 18, pages 209-270, National Bureau of Economic Research, Inc.
    4. Lahiri, Kajal & Teigland, Christie, 1987. "On the normality of probability distributions of inflation and GNP forecasts," International Journal of Forecasting, Elsevier, vol. 3(2), pages 269-279.
    5. Francis X. Diebold & Anthony S. Tay & Kenneth F. Wallis, 1997. "Evaluating Density Forecasts of Inflation: The Survey of Professional Forecasters," NBER Working Papers 6228, National Bureau of Economic Research, Inc.
    6. Forsells, Magnus & Kenny, Geoff, 2002. "The rationality of consumers' inflation expectations: survey-based evidence for the euro area," Working Paper Series 163, European Central Bank.
    7. Gianna Boero & Jeremy Smith & KennethF. Wallis, 2008. "Uncertainty and Disagreement in Economic Prediction: The Bank of England Survey of External Forecasters," Economic Journal, Royal Economic Society, vol. 118(530), pages 1107-1127, July.
    8. Gianna Boero & Jeremy Smith & Kenneth F. Wallis, 2008. "Uncertainty and Disagreement in Economic Prediction: The Bank of England Survey of External Forecasters," Economic Journal, Royal Economic Society, vol. 118(530), pages 1107-1127, July.
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    Cited by:

    1. Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2023. "The anchoring of long-term inflation expectations of consumers: insights from a new survey," Oxford Economic Papers, Oxford University Press, vol. 75(1), pages 96-116.
    2. Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2021. "Anchoring of consumers’ long-term euro area inflation expectations during the pandemic," Working Papers 715, DNB.
    3. Gabriele Galati & Peter Heemeijer & Richhild Moessner, 2011. "How do inflation expectations form? New insights from a high-frequency survey," BIS Working Papers 349, Bank for International Settlements.

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    Keywords

    Adaptive kernel method; adaptive multimodality test; consumer survey; inflation forecasts; nonparametric density estimation;
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