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GTAP Resource #7842

"Introducing {teems} and the teemsphere: an open-source platform for reproducible Computable General Equilibrium modelling"
Authors: Cantele, Matthew, Pham Van Ha and Thomas Kompas


Abstract
Reproducibility in computable general equilibrium (CGE) modeling has long been constrained by proprietary software, opaque workflows, and the sheer complexity of assembling a model run. The Trade and Environment Equilibrium Modeling System (TEEMS) is an open-source software suite designed to address this gap by providing a scripted and shareable workflow for CGE model preparation, solution, and result composition within the R programming environment.

The ems_data() function loads input files and aggregates regions, sectors, and endowments according to user-specified mappings. A library of internal mappings is provided across multiple resolutions. Intertemporal models are handled natively, with time steps expressed either as integer increments or chronological years.

Model loading via ems_model() parses model files, validates closure specifications, applies variable omissions, and accepts direct coefficient value injections. Shock specification supports three modes: uniform shocks, heterogeneous custom shocks , and scenario shocks that accept absolute pre-aggregation values and handle aggregation and percentage-change conversion internally. Closure options include both full-variable and partial swaps, with partial swaps constructed using the ems_swap() function and identified by model-specific set-index notation.

The solver is built with Docker and leverages low level programming and high-performance sparse linear algebra libraries including parallel matrix methods. Solutions are handled by ems_solve(), which offers a range of matrix methods, solution methods, among other options. All model coefficients and variables are outputted into a structured named list.

In sum, TEEMS reduces the technical barrier to CGE modeling, promotes reproducibility through fully scriptable workflows, and provides a foundation for coupling equilibrium models as well as running CGE models within integrated assessment frameworks.


Resource Details () GTAP Keywords
Category: 2026 Conference Paper
Status: Not published
By/In:
Date: 2026
Version:
Created: Cantele, M. (4/15/2026)
Updated: Batta, G. (4/16/2026)
Visits: 24
- Software and modeling tools


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