IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2022-215.html
   My bibliography  Save this paper

A Quarterly Projection Model for the WAEMU

Author

Listed:
  • Carlos de Resende
  • Alsim Fall
  • Demba Sy

Abstract

This study describes a semi-structural New-Keynesian Quarterly Projection Model (QPM) for the WAEMU zone. In the context of a fixed exchange rate regime and relatively tight capital controls, the central bank for the WAEMU monetary union (Banque Centrale des États de l’Afrique de l’Ouest, BCEAO) can exert some influence on the domestic money markets and interest rates. We adjusted the canonical version of a New Keynesian semi-structural Quarterly Projection Model (QPM) to capture that feature and other aspects specific to the BCEAO monetary policy framework, including an implicit foreign exchange reserve target. The model, which is parametrized though and mix of calibration and Bayesian estimation techniques, displays dynamic properties for the main variables in response to various shocks that are in line with theoretical priors and empirical evidence. Medium-term forecasts considering the Covid-19 pandemic produce sensible results when compared with forecast produced by a standard VAR. Moments computed from artificial data generated with the model match well those observed in the data. Overall, the model displays desirable analytical properties and sensible data-matching and forecasting capabilities and could, therefore, be used by the BCEAO to identify relevant shocks, map their propagation into the WAEMU regional economy, and better support its monetary policy decisions.

Suggested Citation

  • Carlos de Resende & Alsim Fall & Demba Sy, 2022. "A Quarterly Projection Model for the WAEMU," IMF Working Papers 2022/215, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2022/215
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=525213
    Download Restriction: no
    ---><---

    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:imfwpa:2022/215. 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.