IDEAS home Printed from https://ideas.repec.org/a/bla/ecnote/v54y2025i1ne70005.html
   My bibliography  Save this article

Optimal Monetary Policy Under Inflation Targeting in Tunisia: New Keynesian Model

Author

Listed:
  • Dorra Turki
  • Foued Badr Gabsi

Abstract

This article analyzes monetary policy under inflation targeting in a developing economy using a hybrid new Keynesian model to determine the optimal policy rule. Firstly, we estimate the model's parameters using a Bayesian approach with data from the Tunisian economy from 2000 Q1 to 2020 Q4. Then, we solve an optimization problem to evaluate different types of monetary policy rules within the framework of two inflation‐targeting regimes. The results show that a forward‐looking rule with interest rate smoothing minimizes welfare loss most effectively within a strict inflation‐targeting framework.

Suggested Citation

  • Dorra Turki & Foued Badr Gabsi, 2025. "Optimal Monetary Policy Under Inflation Targeting in Tunisia: New Keynesian Model," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 54(1), February.
  • Handle: RePEc:bla:ecnote:v:54:y:2025:i:1:n:e70005
    DOI: 10.1111/ecno.70005
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/ecno.70005
    Download Restriction: no

    File URL: https://libkey.io/10.1111/ecno.70005?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
    ---><---

    More about this item

    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:bla:ecnote:v:54:y:2025:i:1:n:e70005. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0391-5026 .

    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.