IDEAS home Printed from https://ideas.repec.org/p/fip/fedkrw/rwp16-07.html

Optimal monetary policy regime switches

Author

Listed:
  • Jason Choi
  • Andrew T. Foerster

Abstract

Given regime switches in the economy?s growth rate, optimal monetary policy rules may respond by switching policy parameters. These optimized parameters differ across regimes and from the optimal choice under fixed regimes, particularly in the inflation target and interest rate inertia. Optimal switching rules produce welfare gains relative to constant rules, with switches in the implicit real interest rate used for policy and the degree of interest rate inertia producing the largest gains. However, gains from switching rules decrease if the monetary authority trades-off the probability of low rates, or if it may misidentify the regime.

Suggested Citation

  • Jason Choi & Andrew T. Foerster, 2016. "Optimal monetary policy regime switches," Research Working Paper RWP 16-7, Federal Reserve Bank of Kansas City.
    • Handle: RePEc:fip:fedkrw:rwp16-07
    DOI: 10.18651/RWP2016-07
    as

    Download full text from publisher

    File URL: https://www.kansascityfed.org/documents/639/pdf-Optimal%20Monetary%20Policy%20Regime%20Switches.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.18651/RWP2016-07?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Smith, A. Lee, 2016. "When does the cost channel pose a challenge to inflation targeting central banks?," European Economic Review, Elsevier, vol. 89(C), pages 471-494.
    2. Davig, Troy & Foerster, Andrew, 2023. "Communicating Monetary Policy Rules," European Economic Review, Elsevier, vol. 151(C).
    3. Guido Ascari & Anna Florio & Alessandro Gobbi, 2020. "Controlling Inflation With Timid Monetary–Fiscal Regime Changes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 1001-1024, May.
    4. Stéphane Lhuissier & Fabien Tripier, 2021. "Regime‐dependent effects of uncertainty shocks: A structural interpretation," Quantitative Economics, Econometric Society, vol. 12(4), pages 1139-1170, November.
    5. Ernst, Ekkehard & Semmler, Willi & Haider, Alexander, 2017. "Debt-deflation, financial market stress and regime change – Evidence from Europe using MRVAR," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 115-139.
    6. Jason Choi & Andrew Foerster, 2021. "Optimal Monetary Policy Regime Switches," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 42, pages 333-346, October.
    7. Ascari, Guido & Florio, Anna & Gobbi, Alessandro, 2018. "High trend inflation and passive monetary detours," Economics Letters, Elsevier, vol. 172(C), pages 138-142.
    8. Christoffel, Kai & Farkas, Mátyás, 2025. "Managing the risks of inflation expectation de-anchoring," Working Paper Series 3082, European Central Bank.
    9. C. Richard Higgins & Irfan A. Qureshi, 2025. "Changes in central bank leadership and inflation dynamics," Southern Economic Journal, John Wiley & Sons, vol. 91(4), pages 1440-1473, April.
    10. Neusser, Klaus, 2019. "Time–varying rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    11. Sebasti√°n Cadavid S√°nchez, 2018. "Monetary policy and structural changes in Colombia, 1990-2016: A Markov Switching approach," Documentos CEDE 16970, Universidad de los Andes, Facultad de Economía, CEDE.
    12. Faulwasser Timm & Gross Marco & Semmler Willi & Loungani Prakash, 2020. "Unconventional monetary policy in a nonlinear quadratic model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(5), pages 1-19, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedkrw:rwp16-07. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kira Lillard (email available below). General contact details of provider: https://edirc.repec.org/data/frbkcus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.