GM
Source: Commission modelling inventory and knowledge management system (MIDAS)
Date of Report Generation: Fri Sep 18 2026
Dissemination: Public
© European Union, 2026
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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
Ownership and Licence
Ownership
EU ownership (European Commission)
Ownership details
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:
| Parameter | Description |
|---|---|
| Spatial extent / country coverage | EU Member states 27ItalySpainFranceGermanyPolandUnited StatesEuro Area (Eurozone) |
| Individual euro area countries, euro area aggregate, US, RoW. | |
| Spatial resolution | World-regions (supranational)National |
| Temporal extent | Long-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 resolution | Quarterly |
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?
- response
- yes
- details
- Model analysis can take into account parameter and shock uncertainty
- url
Sensitivity analysis
Sensitivity analysis helps identifying the uncertain inputs mostly responsible for the uncertainty in the model responses. Has the model undergone sensitivity analysis?
- response
- yes
- details
- Parameter estimates and model results are assessed via sensitivity analysis
- url
Have model results been published in peer-reviewed articles?
- response
- yes
- details
- 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
- url
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.
- response
- no
- details
- url
Model validation
Has model validation been done? Have model predictions been confronted with observed data (ex-post)?
- response
- yes
- details
- The model-implied k-step ahead forecasts of the macroeconomic variables of interest are compared with observed data
- url
Transparency
To what extent do input data come from publicly available sources?
This may include sources accessible upon subscription and/or payment
- response
- 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
- response
- yes
- details
- Taken from public source
- url
Have model results been presented in publicly available reports?
Note this excludes IA reports.
- response
- yes
- details
- documents
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.
- response
- yes
- details
- Made available through peer-reviewed publications
- url
Is there any user friendly interface presenting model results that is accessible to the public?
For instance: Dashboard, interactive interfaces...
- response
- no
- details
- url
Has the model been documented in a publicly available dedicated report or a manual?
Note this excludes IA reports.
- response
- yes
- details
- 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?
- response
- yes
Is the model code open-source?
- response
- no
- details
Can the code be accessed upon request?
- response
- yes
- details
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.