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Assessing inflation expectations anchoring for heterogeneous agents: analysts, businesses and trade unions

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  • Ken Miyajima
  • James Yetman

Abstract

Forecasts of agents who are actively involved in the setting of prices and wages are less readily available than those of professional analysts, but may be more relevant for understanding inflation dynamics. Here we compare inflation expectations anchoring between analysts, businesses and trade unions for one country for which comparable forecasts are available for almost two decades: South Africa. Forecasts are modelled as monotonically diverging from an estimated long-run anchor point, or "implicit anchor", towards actual inflation as the forecast horizon shortens. We find that the estimated inflation anchors of analysts lie within the 3-6 percent inflation target range of the central bank. However, those for businesses and trade unions, which our evidence suggests may be most relevant for driving the inflation process, have remained above the top end of the official target range. Our results point to challenges for central banks seeking to gain credibility with agents whose decisions directly influence inflation.

Suggested Citation

  • Ken Miyajima & James Yetman, 2018. "Assessing inflation expectations anchoring for heterogeneous agents: analysts, businesses and trade unions," BIS Working Papers 759, Bank for International Settlements.
  • Handle: RePEc:bis:biswps:759
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    Cited by:

    1. Christopher Loewald & David Faulkner & Konstantin Makrelov, 2020. "Time consistency and economic growth a case study of south african macroeconomic policy," Working Papers 10421, South African Reserve Bank.
    2. Chris Loewald & Konstantin Makrelov & Ekaterina Pirozhkova, 2022. "TheshorttermcostsofreducingtrendinflationinSouthAfrica," Working Papers 11029, South African Reserve Bank.
    3. Andrew Phiri & Lutho Mbekeni, 2021. "Fisher’s hypothesis, survey-based expectations and asymmetric adjustments: Empirical evidence from South Africa," International Economics and Economic Policy, Springer, vol. 18(4), pages 825-846, October.
    4. Marques, André M. & Carvalho, André R., 2022. "Testing the neo-fisherian hypothesis in Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 407-419.
    5. Sitikantha Pattanaik & Silu Muduli & Soumyajit Ray, 2020. "Inflation expectations of households: do they influence wage-price dynamics in India?," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 13(3), pages 244-263, September.
    6. Ekaterina Pirozhkova & Jeffrey Rakgalakane & Luchelle Soobyah Rudi Steinbach, 2023. "EnhancingtheQuarterlyProjectionModel," Working Papers 11044, South African Reserve Bank.
    7. Monique B. Reid & Pierre L. Siklos, 2022. "How Firms and Experts View The Phillips Curve: Evidence from Individual and Aggregate Data from South Africa," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(12), pages 3355-3376, September.
    8. James Yetman, 2022. "What's Up with Inflation Expectations?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(1), pages 136-140, March.
    9. Ekaterina Pirozhkova & Jeffrey Rakgalakane & Luchelle Soobyah & Rudi Steinbach, 2023. "Enhancing the Quarterly Projection Model," Working Papers 11048, South African Reserve Bank.

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    More about this item

    Keywords

    inflation expectations; inflation anchoring; decay function; inflation targeting;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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