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Central Bank Credibility: An Historical and Quantitative Exploration

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  • Michael D. Bordo
  • Pierre L. Siklos

Abstract

In this paper we provide empirical measures of central bank credibility and augment these with historical narratives from eleven countries. To the extent we are able to apply reliable institutional information we can also indirectly assess their role in influencing the credibility of the monetary authority. We focus on measures of inflation expectations, the mean reversion properties of inflation, and indicators of exchange rate risk. In addition we place some emphasis on whether credibility is particularly vulnerable during financial crises, whether its evolution is a function of the type of crisis or its kind (i.e., currency, banking, sovereign debt crises). We find credibility changes over time are frequent and can be significant. Nevertheless, no robust empirical connection between the size of an economic shock (e.g., the Great Depression) and loss of credibility is found. Second, the frequency with which the world economy experiences economic and financial crises, institutional factors (i.e., the quality of governance) plays an important role in preventing a loss of credibility. Third, credibility shocks are dependent on the type of monetary policy regime in place. Finally, credibility is most affected by whether the shock can be associated with policy errors.

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  • Michael D. Bordo & Pierre L. Siklos, 2015. "Central Bank Credibility: An Historical and Quantitative Exploration," NBER Working Papers 20824, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:20824
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    3. Patrick K. O’Brien & Nuno Palma, 2019. "Danger To The Old Lady Of Threadneedle Street? The Bank Restriction Act And The Regime Shift To Paper Money, 1797-18211," Working Papers 0082, Utrecht University, Centre for Global Economic History.
    4. Silveira, Jaylson Jair da & Lima, Gilberto Tadeu, 2015. "Conquering Credibility for Monetary Policy under Sticky Confidence," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 69(2), June.
    5. Kliem, Martin & Kriwoluzky, Alexander & Sarferaz, Samad, 2016. "Monetary–fiscal policy interaction and fiscal inflation: A tale of three countries," European Economic Review, Elsevier, vol. 88(C), pages 158-184.
    6. de Oliveira, Fernando Nascimento & Gaglianone, Wagner Piazza, 2020. "Expectations anchoring indexes for Brazil using Kalman filter: Exploring signals of inflation anchoring in the long term," International Economics, Elsevier, vol. 163(C), pages 72-91.
    7. Jakub Rybacki & Dobromił Serwa, 2021. "What Makes a Successful Scientist in a Central Bank? Evidence From the RePEc Database," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(3), pages 331-357, September.
    8. Ruttachai Seelajaroen & Pornanong Budsaratragoon & Boonlert Jitmaneeroj, 2020. "Do monetary policy transparency and central bank communication reduce interest rate disagreement?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 368-393, April.
    9. Michael D. Bordo & Joseph G. Haubrich, 2020. "Low Interest Rates and the Predictive Content of the Yield Curve," Working Papers 20-24R, Federal Reserve Bank of Cleveland, revised 21 Dec 2021.
    10. Granville, Brigitte & Zeng, Ning, 2019. "Time variation in inflation persistence: New evidence from modelling US inflation," Economic Modelling, Elsevier, vol. 81(C), pages 30-39.
    11. Kim, Soyoung & Yim, Geunhyung, 2020. "Do inflation-targeting central banks adjust inflation targets to meet the target?," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • 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
    • N10 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - General, International, or Comparative

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