GM

Global Multicountry model
Fact Sheet

Source: Commission modelling inventory and knowledge management system (MIDAS)

Date of Report Generation: Fri Sep 18 2026

Dissemination: Public

© European Union, 2026

The Commission's reuse policy is implemented by the Commission Decision of 12 December 2011 on the reuse of Commission documents. Unless otherwise indicated (e.g. in individual copyright notices), content owned by the EU on this website is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. This means that reuse is allowed, provided appropriate credit is given and changes are indicated. You may be required to clear additional rights if a specific content depicts identifiable private individuals or includes third-party works. To use or reproduce content that is not owned by the EU, you may need to seek permission directly from the rightholders. Software or documents covered by industrial property rights, such as patents, trade marks, registered designs, logos and names, are excluded from the Commission's reuse policy and are not licensed to you.

Disclaimer: The Commission accepts no responsibility or liability whatsoever with regard to any and all information made available on or accessible through MIDAS website. The information, including but not limited to models, impact assessments, models’ input and output data, and metadata, modelling exercises and policy contributions, is of a general nature only and is not intended to address the specific circumstances of any particular individual or entity, and may not be regarded as comprehensive, complete, accurate or upto-date. The Commission furthermore does not assume any responsibility for content of any external websites to which links maybe provided on this website. Any and all information provided may not be regarded as professional or legal advice. Information available through the website may not be referenced as officially adopted text of European Union regulatory or policy documents or sources. Their authentic versions can only be accessed through the Official Journal of the European Union (the printed edition or, since 1 July 2013, the electronic edition on the EUR-Lex website).

Overview

Acronym

GM

Full title

Global Multicountry model

Main purpose

The GM model is a global macro-economic model used to perform forecasting, medium term projections and spillover analysis in sync with the EU's annual cycle of economic surveillance procedures (the European Semester).

Summary

The Global Multicountry model (GM) has been designed in 2014 to complement the model QUEST to support the EC in its macroeconomic forecasting and monitoring tasks. It has been jointly developed by the JRC and the Directorate-General for Economic and Financial Affairs.

GM belongs to the class of New-Keynesian Dynamic Stochastic General Equilibrium (DSGE) models that are widely used by international institutions and central banks. These models have rigorous microeconomic foundations derived from utility and profit optimisation and include frictions in goods, labour and financial markets.

The GM model has been developed to flexibly allow for different country configurations.

The GM model is suitable for policy scenarios. It is aimed to support the EC in its macroeconomic foreasting and monitoring tasks, and is regularly used to contribute to the Spring and Autumn rounds of the European Economic Forecasts by identifying the drivers of historical and forecasted key variables like GDP, inflation, trade balance.

Model categories

miscellaneous

Model keywords

macroeconomics

Model homepage

https://joint-research-centre.ec.europa.eu/scientific-activities/macroeconomic-monitoring-fiscal-surveillance-forecasting-and-nowcasting/global-multi-country-model_en

Ownership and Licence

Ownership

EU ownership (European Commission)

Ownership details

Jointly developed by JRC.B.1 and DG ECFIN.DDG2.B.3 since 2014

Licence type

Free Software licence

The license grants freedom to run the programme for any purpose; freedom to run the program for any purpose; freedom to study (by accessing the source code) how the program works, and change it so it does enable computing; freedom to redistribute copies; and freedom to distribute copies of modified versions to others.

Details

Structure and approach

GM belongs to the class of New-Keynesian Dynamic Stochastic General Equilibrium (DSGE) models that are widely used by international institutions and central banks. These models have rigorous microeconomic foundations derived from utility and profit optimisation and include frictions in goods, labour and financial markets.

The GM model has been estimated with a flexible geographical configuration which encompasses multiple region economies linked by financial and trade linkages.  The versions estimated with full-information Bayesian techniques include the GM2-EA (euro area - EA - and Rest-of-the-world -RoW), the GM2-EU (European Union and RoW), the GM3-US (EA, the United States and RoW) and the countries specific versions, namely, GM3-DE, GM3-FR, GM3-IT, GM3-ES and GM3-PL, where the detailed country economy is studied together with the detailed Rest-of-the-euro area (EA for Poland) and the RoW. 

The GM model has been designed in order to complement QUEST to support the EC in its macroeconomic surveillance, monitoring and forecasting tasks. While the QUEST versions have a larger degree of complexity (e.g. featuring housing and credit-constrained households, financial cross-holdings), versions of GM are kept a lower level of complexity in order to reduce the computational burden, being intended to be regularly re-estimated for all the different country configurations.

The estimated versions of the GM model are regularly used in the context of Economic forecasts [Spring/Autumn rounds] and in general to support the EC in its macroeconomic surveillance and monitoring tasks. 

 

Input and parametrization

  • National account data (GDP and its components, current and constant prices)
  • Labour market data (wages, employment)
  • Financial variables (interest rates)
  • Trade data
  • Monetary data (interest rates)
  • etc

Main output

Model parameter estimates to be used for simulation (time evolution of all macro-variables of interest in response to a shock in the economy or changes in policy) and model-based policy analysis;

  • Among the macroeconomic variables of interest, GM model allows to study dynamics and economic drivers of
    • GDP and its components
    • Price deflators
    • Fiscal variables
    • Employment, wages
    • Interest rates
    • Trade
    • etc

Spatial & Temporal extent

The output has the following spatial-temporal resolution and extent:

Spatial & Temporal extent for the output
ParameterDescription
Spatial extent / country coverageEU Member states 27ItalySpainFranceGermanyPolandUnited StatesEuro Area (Eurozone)
Individual euro area countries, euro area aggregate, US, RoW.
Spatial resolutionWorld-regions (supranational)National
Temporal extentLong-term (more than 15 years)
Estimation data range: 1995-present countries. Forecast horizon: t+2 yrs. Simulation horizon: the model is simulated for several quarters ahead to allow convergence.
Temporal resolutionQuarterly

Quality & Transparency

Quality

Model uncertainties

Models are by definition affected by uncertainties (in input data, input parameters, scenario definitions, etc.). Have the model uncertainties been quantified? Are uncertainties accounted for in your simulations?

yes
Model analysis can take into account parameter and shock uncertainty

    Sensitivity analysis

    Sensitivity analysis helps identifying the uncertain inputs mostly responsible for the uncertainty in the model responses. Has the model undergone sensitivity analysis?

    yes
    Parameter estimates and model results are assessed via sensitivity analysis

      Have model results been published in peer-reviewed articles?

      yes
      There has been no formal evaluation of thhe model by an external panel, however, the model version on GM3 (EA-US-ROW) has been published as peer-review article

        Has the model formally undergone scientific review by a panel of international experts?

        Please note that this does not refer to the cases when model results were validated by stakeholders.

        no

          Model validation

          Has model validation been done? Have model predictions been confronted with observed data (ex-post)?

          yes
          The model-implied k-step ahead forecasts of the macroeconomic variables of interest are compared with observed data

            Transparency

            To what extent do input data come from publicly available sources?

            This may include sources accessible upon subscription and/or payment

            Entirely based on publicly available sources

            Is the full model database as such available to external users?

            Whether or not it implies a specific procedure or a fee

            yes
            Taken from public source

              Have model results been presented in publicly available reports?

              Note this excludes IA reports.

              yes

              For details please refer to the 'peer review for model validation' documents in the bibliographic references

              Have output datasets been made publicly available?

              Note this could also imply a specific procedure or a fee.

              yes
              Made available through peer-reviewed publications

                Is there any user friendly interface presenting model results that is accessible to the public?

                For instance: Dashboard, interactive interfaces...

                no

                  Has the model been documented in a publicly available dedicated report or a manual?

                  Note this excludes IA reports.

                  yes
                  Model structure is described in the peer-review publication. Algorithms and codes can be made available on request

                  Is there a dedicated public website where information about the model is provided?

                  yes

                  Is the model code open-source?

                  no

                  Can the code be accessed upon request?

                  yes

                  The model’s policy relevance and intended role in the policy cycle

                  The model is designed to contribute to the following policy areas

                  • Competition
                  • Economy, finance and the euro
                  • Employment and social affairs
                  • Energy
                  • Taxation
                  • Trade

                  The model is designed to contribute to the following phases of the policy cycle

                  • Anticipation – such as foresight and horizon scanning
                  • Evaluation – such as ex-post evaluation
                  • Formulation – such as ex-ante Impact Assessments
                  • Implementation – this also includes monitoring

                  The model’s potential

                  The GM model is suitable for policy preparation and implementation. It has been designed in order to complement QUESTIII to support the EC in its macroeconomic surveillance, monitoring and forecasting tasks. GM model is employed to support the EC in the analysis of international real and financial spillovers, in the assessment of the impact of relevant shocks, like pandemics or trade-fragmentation, in the ex post assessment of specific policy implementation with counterfactual analysis. It is systematically used in the European Economic Forecasts for driver analysis, counterfactual exercises, and scenarios to inform on the macroeconomic impact of various sources of risk.

                  Previous use of the model in ex-ante impact assessments of the European Commission

                  Use of the model in ex-ante impact assessments since July 2017.

                  Bibliographic references

                  Studies that uses the model or its results

                  European Economic Forecast, Spring 2017: Box I.3

                  Published in 2017

                  European Economic Forecast, Autumn 2016: Box I.1

                  Published in 2016

                  Peer review for model validation

                  The post-crisis slump in the Euro Area and the US: Evidence from an estimated three-region DSGE model 

                  Published in 2016
                  Kollmann, R., Pataracchia, B., Raciborski, R., Ratto, M., Roeger, W., & Vogel, L. (2016). The post-crisis slump in the Euro Area and the US: Evidence from an estimated three-region DSGE model. European Economic Review, 88, 21–41. doi:10.1016/j.euroecorev.2016.03.003

                  Model documentation

                  The Global Multi-Country Model (GM): an Estimated DSGE Model for the Euro Area Countries. JRC Working Papers in Economics and Finance, 2017/10 

                  Published in 2017
                  Albonico, A., Calès, L., Cardani, R., Croitorov, O., Ferroni, F., Giovannini, M., Hohberger, S., Pataracchia, B., Pericoli, F., Raciborski, R., Ratto, M., Roeger, W. and Vogel, L., The Global Multi-Country Model (GM): an Estimated DSGE Model for the Euro Area Countries. JRC Working Papers in Economics and Finance, 2017/10, Publications Office of the European Union, Luxembourg, 2017, ISBN 978-92-79-67447-1, doi:10.2760/901714, JRC109218.

                  Other related documents

                  No references in this category