IDEAS home Printed from https://ideas.repec.org/p/imf/imftnm/2026-003.html

Solving the Canonical Quarterly Projection Model Using EViews

Author

Listed:
  • Mr. Sam Ouliaris
  • Ms. Celine Rochon

Abstract

The Quarterly Projection Model (QPM) is one of the IMF’s standard frameworks for monetary policy analysis and forms a core component of a forward‑looking Forecasting and Policy Analysis System (FPAS). Traditionally, the QPM is solved using simulation tools available in MATLAB. This technical note demonstrates how the canonical QPM can instead be implemented using the EViews econometric package, with the aim of reducing the technical barriers to applying the model in practice. The note is intended for policy analysts and economists who wish to adapt the QPM to country‑specific settings without requiring advanced proficiency in the EViews programming language. The approach is illustrated using a notional “Country Z,” but the methodology can be readily adapted to real‑world country applications. Users need only to assemble the required data and make targeted modifications to existing EViews code, such as selecting the appropriate exchange‑rate regime equations and calibrating key model constants. In addition to solving the QPM for its baseline projection, the technical note shows how to construct and analyze alternative scenarios. These scenarios may involve multiple exogenous shocks and constraints on selected endogenous variables, enabling users to assess the dynamic response of the economy and the speed and path of its return to the baseline.

Suggested Citation

  • Mr. Sam Ouliaris & Ms. Celine Rochon, 2026. "Solving the Canonical Quarterly Projection Model Using EViews," IMF Technical Notes and Manuals 2026/003, International Monetary Fund.
  • Handle: RePEc:imf:imftnm:2026/003
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=573519
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:imf:imftnm:2026/003. 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: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.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.