IDEAS home Printed from https://ideas.repec.org/a/taf/rseexx/v46y2022i4p249-281.html
   My bibliography  Save this article

An applied dynamic structural macro-econometric model for Rwanda

Author

Listed:
  • Alemayehu Geda
  • Addis Yimer

Abstract

This study develops a macro-econometric model for a typical supply constrained African economy aimed at developing a theoretical and empirical template for such policy tools that are increasingly being demanded by African ministries of finance and central banks. We concretised it by building a macro-econometric model for Rwanda. The model is designed to capture the structural characteristics of such an African economy. The Rwanda macro-econometric model has 107 equations of which 72 are endogenous. In addition, we also build a supplementary ARIMA based model with 33 equations for the exogenous variables to make the model useful for forecasting. We disaggregate the fiscal, balance of payments and money supply blocks of the model to offer an adequate picture of the macro-economy. We also do an econometric estimation of the core behavioural equations of the model using the error correction modelling approach for the period 1960–2009. The model can be easily extended further to support the budgeting, forecasting and macroeconomic policy analyses in the relevant ministries and central banks in Africa. We successfully solve the model and reproduce historical values from 1999 to 2009 and forecast major macro-variables for 2010 to 2015. We also use the model to conduct policy and external shock simulation exercise that are important for policymakers.

Suggested Citation

  • Alemayehu Geda & Addis Yimer, 2022. "An applied dynamic structural macro-econometric model for Rwanda," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 46(4), pages 249-281, October.
  • Handle: RePEc:taf:rseexx:v:46:y:2022:i:4:p:249-281
    DOI: 10.1080/03796205.2022.2135587
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03796205.2022.2135587
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03796205.2022.2135587?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

    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:taf:rseexx:v:46:y:2022:i:4:p:249-281. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rsee .

    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.