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Parameter Uncertainty And Nonlinear Monetary Policy Rules

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  • Tillmann, Peter

Abstract

Empirical evidence suggests that the instrument rule describing the interest rate–setting behavior of the Federal Reserve is nonlinear. This paper shows that optimal monetary policy under parameter uncertainty can motivate this pattern. If the central bank is uncertain about the slope of the Phillips curve and follows a min–max strategy to formulate policy, the interest rate reacts more strongly to inflation when inflation is further away from target. The reason is that the worst case the central bank takes into account is endogenous and depends on the inflation rate and the output gap. As inflation increases, the worst-case perception of the Phillips curve slope becomes larger, thus requiring a stronger interest rate adjustment. Empirical evidence supports this form of nonlinearity for post-1982 U.S. data.

Suggested Citation

  • Tillmann, Peter, 2011. "Parameter Uncertainty And Nonlinear Monetary Policy Rules," Macroeconomic Dynamics, Cambridge University Press, vol. 15(2), pages 184-200, April.
  • Handle: RePEc:cup:macdyn:v:15:y:2011:i:02:p:184-200_99
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    Citations

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    Cited by:

    1. Aguiar-Conraria, Luis & Martins, Manuel M.F. & Soares, Maria Joana, 2018. "Estimating the Taylor rule in the time-frequency domain," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 122-137.
    2. Creel, Jérôme & Hubert, Paul, 2015. "Has Inflation Targeting Changed The Conduct Of Monetary Policy?," Macroeconomic Dynamics, Cambridge University Press, vol. 19(1), pages 1-21, January.
    3. Creel, Jérôme & Hubert, Paul, 2015. "Has Inflation Targeting Changed The Conduct Of Monetary Policy?," Macroeconomic Dynamics, Cambridge University Press, vol. 19(1), pages 1-21, January.
    4. Luís Francisco Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2014. "Analyzing the Taylor Rule with Wavelet Lenses," NIPE Working Papers 18/2014, NIPE - Universidade do Minho.
    5. Bursian Dirk & Roth Markus, 2014. "Optimal policy and Taylor rule cross-checking under parameter uncertainty," The B.E. Journal of Macroeconomics, De Gruyter, vol. 14(1), pages 1-24, January.
    6. Gabriela Bezerra Medeiros & Marcelo Savino Portugal & Edilean Kleber da Silva Bejarano Aragón, 2017. "Endogeneity and nonlinearities in Central Bank of Brazil’s reaction functions: an inverse quantile regression approach," Empirical Economics, Springer, vol. 53(4), pages 1503-1527, December.
    7. Neuenkirch, Matthias & Tillmann, Peter, 2014. "Inflation targeting, credibility, and non-linear Taylor rules," Journal of International Money and Finance, Elsevier, vol. 41(C), pages 30-45.
    8. White, Halbert & Pettenuzzo, Davide, 2014. "Granger causality, exogeneity, cointegration, and economic policy analysis," Journal of Econometrics, Elsevier, vol. 178(P2), pages 316-330.
    9. Nguyen Anh D. M. & Pavlidis Efthymios G. & Peel David A., 2018. "Modeling changes in US monetary policy with a time-varying nonlinear Taylor rule," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(5), pages 1-17, December.
    10. repec:hal:spmain:info:hdl:2441/9543 is not listed on IDEAS
    11. Edilean Kleber da Silva Bejarano Aragón, 2021. "Specification errors, nonlinearities, and structural breaks in the Central Bank of Brazil’s reaction function," Empirical Economics, Springer, vol. 60(3), pages 1221-1243, March.
    12. Anna Agliari & Ahmad Naimzada & Nicolò Pecora, 2017. "Nonlinear monetary policy rules in a pure exchange overlapping generations model," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1181-1203, November.
    13. Aragón, Edilean Kleber da Silva Bejarano & Galvão, Ana Beatriz, 2023. "Shock-based inference on the Phillips curve with the cost channel," Economic Modelling, Elsevier, vol. 126(C).
    14. André P. Calmon & Thomas Vallée & João B. R. Do Val, 2009. "Monetary policy as a source of uncertainty," Working Papers hal-00422454, HAL.
    15. Gabriela Bezerra De Medeiros & Marcelo Savino Portugal & Edilean Kleber Da Silva Bejarano Aragon, 2016. "Endogeneity And Nonlinearities In Central Bank Of Brazil’S Reaction Functions: An Inverse Quantile Regression Approach," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 061, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    16. repec:hal:spmain:info:hdl:2441/6150 is not listed on IDEAS
    17. Thanaset Chevapatrakul & Juan Paez-Farrell, 2014. "Monetary Policy Reaction Functions in Small Open Economies: a Quantile Regression Approach," Manchester School, University of Manchester, vol. 82(2), pages 237-256, March.

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