MIRAGE-e structure overview

In a nutshell, MIRAGE-e is a multi-sector, multi-country CGE model that is particularly fitted to assess jointly trade policy and climate change mitigation policies

Along with these core assumptions, and under some aggregation constraints, the model can better represent the use and production of energy:


MIRAGE-e mainly relies on GTAP data but also depends on several sources.

GTAP data

MIRAGE relies for SAMs on the GTAP database. The model cannot run with GTAP fully disaggregated on a personal computer due to computation resource requirements and requires aggregation in a number of around 25 regions and 25 sectors.

GTAP also represents a strong network for research on global trade modeling. The GTAP official website constitutes an important source of information for CGE modelers.

Protection data

Data on protection are particularly sensitive for trade policy assessment. For simulations done with MIRAGE, we do not use GTAP aggregated tariff but compute our own tariff equivalents thanks to the database MAcMap-HS6 developed at CEPII, and that represents bilateral applied tariffs for 5,113 products in the HS6 nomenclature. The tariff aggregation is done through the use of reference groups.

Non-tariff measures

MIRAGE-e is able to take non-tariff measures into account. It relies on the following data:


MIRAGE-e baseline is built using the EconMap database. It is used to calibrate the baseline trajectory of:

  • Total factor productivity
  • Population by education level
  • Savings rate and current account
  • Energy efficiency


Fontagné, Lionel, Cristina Mitaritonna, and José E. Signoret. 2016. “Estimated Tariff Equivalents of Services NTMs.” Working Paper 2016-20. CEPII. http://www.cepii.fr/CEPII/fr/publications/wp/abstract.asp?NoDoc=9270.
Kee, Hiau Looi, Alessandro Nicita, and Marcelo Olarreaga. 2008. “Estimating Trade Restrictiveness Indices.” The Economic Journal 119 (534): 172–99. https://doi.org/10.1111/j.1468-0297.2008.02209.x.