IDEAS home Printed from https://ideas.repec.org/a/spr/sorede/v36y2025i2d10.1134_s1075700724700667.html
   My bibliography  Save this article

Using a CGE Model to Update Input–Output Tables Using Data from the Russian Federation and the Republic of Armenia

Author

Listed:
  • A. I. Votinov

    (Research Financial Institute of the Ministry of Finance)

  • A. A. Zinchenko

    (Research Financial Institute of the Ministry of Finance)

  • K. A. Nersisyan

    (M. Kotanyan Institute of Economics, National Academy of Sciences of the Republic of Armenia)

Abstract

Many decisions made in the economies of the CIS countries are not sufficiently supported by calculations, which can lead to serious errors. In this regard, research aimed at increasing the completeness and accuracy of analytical assessments and forecasts can make a significant contribution to improving the quality of economic policy. This paper proposes an algorithm for updating supply and use tables (SUTs)/input–output tables (IOTs) taking into account new known outcomes, such as GDP components. SUT/IOT are the most important tool for analyzing the consistency of macroeconomic statistics data and also serve as the basis for constructing general equilibrium models used to develop effective economic policy. However, SUT/IOT have a large publication delay (in Russia it is 25/37 months after the reporting period, respectively), and are often not updated due to the complexity and high cost of this procedure (for example, in Armenia). At the same time, there is often a need to quickly update data, taking into account newly known results that are published more timely and with higher frequency. Existing table update algorithms, which are various modifications of the RAS method, have a number of shortcomings, including the lack of connection between the resulting tables and the specific structure of the economy, outliers in the data that are not consistent with economic logic, etc. The algorithm proposed in the article is based on a full-fledged CGE—a model with an aggregated external sector, which allows us to take into account not only the numerical relationships in the original table, but also to fully reproduce the economic relationships between all values. Also, the presence of a full-fledged CGE model at the base of the algorithm allows for the introduction of more additional information in the form of structural parameters, price restrictions, etc. The article demonstrates the effectiveness of the proposed method for extending the SUT/IOT in comparison with the modified RAS method.

Suggested Citation

  • A. I. Votinov & A. A. Zinchenko & K. A. Nersisyan, 2025. "Using a CGE Model to Update Input–Output Tables Using Data from the Russian Federation and the Republic of Armenia," Studies on Russian Economic Development, Springer, vol. 36(2), pages 193-202, April.
    • Handle: RePEc:spr:sorede:v:36:y:2025:i:2:d:10.1134_s1075700724700667
    DOI: 10.1134/S1075700724700667
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S1075700724700667
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1134/S1075700724700667?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.

    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:spr:sorede:v:36:y:2025:i:2:d:10.1134_s1075700724700667. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.