IDEAS home Printed from https://ideas.repec.org/a/bpj/germec/v24y2023i2p145-190n1.html
   My bibliography  Save this article

Interest Rate Persistence and Monetary Policy Rule in Light of Model Uncertainty

Author

Listed:
  • Yin Shou-Yung

    (Economics, National Taipei University, No. 151, University Rd., Sanxia Dist., Sanxia 23741, Taiwan)

  • Lin Chang-Ching

    (Economics, National Cheng Kung University, No.1, University Road, Tainan 70101, Taiwan)

  • Chang Ming-Jen

    (Economics, National Dong Hwa University, No. 1, Da-Hsueh Rd., Shou-Feng, Hualien 97401, Taiwan)

Abstract

We study how model uncertainty affects the understanding of the interest rate persistence using a generalized Taylor-rule function covering numerous submodels via model average approach. The data-driven weights can be regarded as a measure of power-sharing across monetary policy committee members. We show that the model uncertainty is important in Canada, France, and Sweden, and the implied weights indicate that the U.K. and the U.S. have a lower model uncertainty caused either by an over-influential chairman or the consistent agreement of committee members. The importance of model uncertainty can be emphasized by sequential estimation during the 2008 financial crisis.

Suggested Citation

  • Yin Shou-Yung & Lin Chang-Ching & Chang Ming-Jen, 2023. "Interest Rate Persistence and Monetary Policy Rule in Light of Model Uncertainty," German Economic Review, De Gruyter, vol. 24(2), pages 145-190, May.
  • Handle: RePEc:bpj:germec:v:24:y:2023:i:2:p:145-190:n:1
    DOI: 10.1515/ger-2022-0076
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/ger-2022-0076
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/ger-2022-0076?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    endogeneity; interest rate smoothing; model uncertainty; partial adjustment; policy inertia; serial correlation; Taylor-rule;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • 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

    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:bpj:germec:v:24:y:2023:i:2:p:145-190:n:1. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.