IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbops/2025381.html

The ESCB forecasting models: what are they and what are they good for?

Author

Listed:
  • Angelini, Elena
  • Darracq Pariès, Matthieu
  • Haertel, Thomas
  • Lalik, Magdalena
  • Aldama, Pierre
  • Brázdik, František
  • Damjanović, Milan
  • Fantino, Davide
  • Sanchez, Pablo Garcia
  • Guarda, Paolo
  • Kearney, Ide
  • Mociunaite, Laura
  • Saliba, Maria Christine
  • Sun, Yiqiao
  • Tóth, Máté Barnabás
  • Stoevsky, Grigor
  • Van der Veken, Wouter
  • Virbickas, Ernestas
  • Bulligan, Guido
  • Castro, Gabriela
  • Feješ, Martin
  • Grejcz, Kacper
  • Hertel, Katarzyna
  • Imbrasas, Darius
  • Kontny, Markus
  • Krebs, Bob
  • Opmane, Ieva
  • Rapa, Abigail Marie
  • Sariola, Mikko
  • Sequeira, Ana
  • Duarte, Rubén Veiga
  • Viertola, Hannu
  • Vondra, Klaus

Abstract

This report provides a comprehensive overview of the models and tools used for macroeconomic projections within the European System of Central Banks (ESCB). These include semi-structural models, dynamic stochastic general equilibrium (DSGE) models, time series models and specialised satellite models tailored to particular questions or country-specific aspects. Each type of model has its own strengths and weaknesses and can help answer different questions. The models should therefore be seen as complementary rather than mutually exclusive. Semi-structural models are commonly used to produce baseline projection exercises, since they offer the flexibility to combine expert judgement with empirical data and have enough complexity and structure to provide a good representation of the economy. DSGE models, valued for their internal consistency and strong theoretical foundations, are another core forecasting tool used by some central banks, particularly to analyse counterfactuals. Time series models tend to be better suited to forecasting the short term, while scenario analysis and special events may require satellite models, extensions of existing models or even the development of new models tailored to the question at hand. The report also addresses the challenges to macroeconomic projections posed by data quality, including revisions and missing data, and describes the methods implemented to mitigate their effects. The report identifies “quick wins” to improve the projection process by enhancing the transparency and comparability of results through standardised reporting frameworks and better measurement of the judgement integrated in forecasts. The findings highlight the fundamental role of macroeconomic models in underpinning the ESCB’s projection exercises and ensuring that the Governing Council’s assessments and deliberations rest on coherent, granular and credible analysis of both demand-side and supply-side dynamics. JEL Classification: C30, C53, C54, E52

Suggested Citation

  • Angelini, Elena & Darracq Pariès, Matthieu & Haertel, Thomas & Lalik, Magdalena & Aldama, Pierre & Brázdik, František & Damjanović, Milan & Fantino, Davide & Sanchez, Pablo Garcia & Guarda, Paolo & Ke, 2025. "The ESCB forecasting models: what are they and what are they good for?," Occasional Paper Series 381, European Central Bank.
  • Handle: RePEc:ecb:ecbops:2025381
    Note: 338657
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpops/ecb.op381.en.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    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:ecb:ecbops:2025381. 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: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.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.