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Central Bank Behavior, the Institutional Framework, and Policy Regimes: Inflation Versus Noninflation Targeting Countries

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  • Pierre L. Siklos

Abstract

This article estimates central bank reaction functions for 20 OECD countries. It bridges the gap between the Taylor reaction function literature and the political‐economy literature. Central banks react to both inflation and the output gap. Moreover, inflation‐targeting countries have been able to reduce nominal interest rate to a greater extent than have non‐inflation‐targeting countries. Countries with fixed exchange rates react more strongly to inflation but not at all to the output gap, unlike countries with floating rates. Political influences also seem relatively more important in fixed exchange rate countries. Central bank independence also helps reduce nominal interest rates. (JEL E58, C31, C32, C53)

Suggested Citation

  • Pierre L. Siklos, 2004. "Central Bank Behavior, the Institutional Framework, and Policy Regimes: Inflation Versus Noninflation Targeting Countries," Contemporary Economic Policy, Western Economic Association International, vol. 22(3), pages 331-343, July.
  • Handle: RePEc:bla:coecpo:v:22:y:2004:i:3:p:331-343
    DOI: 10.1093/cep/byh024
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    Cited by:

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    2. Eijffinger, Sylvester & van der Cruijsen, Carin, 2007. "The Economic Impact of Central Bank Transparency: A Survey," CEPR Discussion Papers 6070, C.E.P.R. Discussion Papers.
    3. Papadamou, Stephanos & Siriopoulos, Costas, 2014. "Interest rate risk and the creation of the Monetary Policy Committee: Evidence from banks’ and life insurance companies’ stocks in the UK," Journal of Economics and Business, Elsevier, vol. 71(C), pages 45-67.
    4. van der Cruijsen, C.A.B., 2008. "The economic impact of central bank transparency," Other publications TiSEM 86c1ba91-1952-45b4-adac-8, Tilburg University, School of Economics and Management.
    5. Jan Libich, 2006. "Inflexibility Of Inflation Targeting Revisited: Modeling The "Anchoring" Effect," CAMA Working Papers 2006-02, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Libich Jan, 2011. "Inflation Nutters? Modelling the Flexibility of Inflation Targeting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-36, June.
    7. Hermann Sintim-Aboagye, 2005. "Emerging Economies, Turnover Rates and Inflation Variability: A Comparison of Generalized Maximum Likelihood and SUR Models," Economic Change and Restructuring, Springer, vol. 38(2), pages 167-178, June.
    8. Hermann Sintim-Aboagye & David Tufte, 2006. "Central Bank Independence, Inflation Variability, and the Revenue Smoothing Hypothesis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 12(2), pages 147-160, May.
    9. Andrew Hallett & Jan Libich, 2012. "Explicit inflation targets and central bank independence: friends or foes?," Economic Change and Restructuring, Springer, vol. 45(4), pages 271-297, November.
    10. Gerberding, Christina & Worms, Andreas & Seitz, Franz, 2004. "How the Bundesbank really conducted monetary policy: An analysis based on real-time data," Discussion Paper Series 1: Economic Studies 2004,25, Deutsche Bundesbank.
    11. Siklos, Pierre L., 2006. "Hungary's entry into the euro area: Lessons for prospective members from a monetary policy perspective," Economic Systems, Elsevier, vol. 30(4), pages 366-384, December.

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    More about this item

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • 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
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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