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Real-time Optimal Monetary Policy with Undistinguishable Model Parameters and Shock Processes Uncertainty

Author

Listed:
  • Alessandro Flamini

    (Department of Economics, University of Sheffield, UK)

  • Costas Milas

    (Department of Economics, Keele University, UK; Rimini Centre for Economic Analysis, Rimini, Italy)

Abstract
This paper studies optimal real time monetary policy when the central bank takes the volatility of the output gap and inflation as proxy of the undistinguishable uncertainty on the exogenous disturbances and the parameters of its model. The paper shows that when the uncertainty surrounding a specific state variable increases, the optimal policy response to that variable should increase too while the optimal response to the remaining state variables should attenuate or be unaffected. In this way the central bank moves preemptively to reduce the risk of large deviations of the economy from the steady state that would deteriorate the distribution forecasts. When an empirical test is carried out on the US economy the model predictions tend to be consistent with the data.

Suggested Citation

  • Alessandro Flamini & Costas Milas, 2009. "Real-time Optimal Monetary Policy with Undistinguishable Model Parameters and Shock Processes Uncertainty," Working Paper series 38_09, Rimini Centre for Economic Analysis.
  • Handle: RePEc:rim:rimwps:38_09
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    References listed on IDEAS

    as
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    Citations

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    Cited by:

    1. Drakos, Anastassios A. & Kouretas, Georgios P., 2015. "The conduct of monetary policy in the Eurozone before and after the financial crisis," Economic Modelling, Elsevier, vol. 48(C), pages 83-92.
    2. Agénor, Pierre-Richard & Flamini, Alessandro, 2022. "Institutional mandates for macroeconomic and financial stability," Journal of Financial Stability, Elsevier, vol. 62(C).
    3. Abayomi T. Onanuga & Sheriffdeen A. Tella & Adenike M. Osoba, 2016. "Uncertainty of Output Gap and Monetary Policy-Making in Nigeria," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 12(5), pages 227-237, OCTOBER.
    4. Alessandro Flamini, 2012. "Interest Rate Forecasts in Inflation Targeting Open-Economies," Economia politica, Società editrice il Mulino, issue 3, pages 381-408.
    5. Flamini Alessandro, 2012. "Economic Stability and the Choice of the Target Inflation Index," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(2), pages 1-37, April.
    6. Moccero, Diego & Gnabo, Jean-Yves, 2015. "The risk management approach to monetary policy, nonlinearity and aggressiveness: the case of the US Fed," Working Paper Series 1792, European Central Bank.
    7. Gnabo, Jean-Yves & Moccero, Diego Nicolas, 2015. "Risk management, nonlinearity and aggressiveness in monetary policy: The case of the US Fed," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 281-294.

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    More about this item

    Keywords

    monetary policy; multiplicative uncertainty;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • 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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