IDEAS home Printed from https://ideas.repec.org/p/bde/opaper/2602.html

MTBE v2025: new version of the Quarterly Model of the Banco de España

Author

Listed:
  • Pablo Aguilar

    (Banco de España)

  • Corinna Ghirelli

    (Banco de España)

  • Samuel Hurtado

    (Banco de España)

Abstract

The Quarterly Model of the Banco de España (MTBE, by its Spanish acronym) is a large-scale macroeconometric model used for medium-term macroeconomic forecasting of the Spanish economy, as well as for performing scenario and policy simulations. The model is for a small, open economy within a monetary union. It is specified as a large set of error correction equations. This document presents an update of the model, which includes some specification changes and a re-estimation using data up to 2022. The main change in this version is the explicit inclusion of expectations in the main equations. This makes the model suitable for performing simulations under different assumptions about the way agents form their expectations. The update also enhances the financial channels included in the model and introduces additional detail in aspects that have gained importance in recent years, such as energy shocks. Length: 44 pages

Suggested Citation

  • Pablo Aguilar & Corinna Ghirelli & Samuel Hurtado, 2026. "MTBE v2025: new version of the Quarterly Model of the Banco de España," Occasional Papers 2602, Banco de España.
  • Handle: RePEc:bde:opaper:2602
    DOI: https://doi.org/10.53479/42265
    as

    Download full text from publisher

    File URL: https://www.bde.es/f/webbe/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosOcasionales/26/Files/do2602e.pdf
    File Function: First version, January 2026
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.53479/42265?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

    Keywords

    ;
    ;

    JEL classification:

    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General

    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:bde:opaper:2602. 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: Ángel Rodríguez. Electronic Dissemination of Information Unit. Research Department. Banco de España (email available below). General contact details of provider: https://edirc.repec.org/data/bdegves.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.