CGE-Core 0.8.0 · interactive policy simulation

Control Room

Read the economy, choose the data, understand the closure, build a policy counterfactual, and turn it into runnable practitioner-API code.

← Docs Colab ↗ GitHub ↗
Step 1

Choose the model

Each model keeps its own economics. The Control Room only exposes controls that belong to the selected model.

Step 2

Read the model before changing it

Economic guide
Notation first

How to read the symbols

Variables and parameters

What the symbols mean

Follow the adjustment

The economic story

Step 3

Set up the economy and data

Scenario target labels

Economy structure

Data source

Where should the benchmark come from?

Step 4

Understand the closure

Step 5

Build the counterfactual

Available controls

What do you want to change?

Step 6

Run the experiment

Your model, data choice, closure, and policy scenario are now a reproducible CGE-Core experiment. Copy the Python, download it, or carry the complete experiment into a Colab-ready notebook.

scenario.py
Generated from the controls above
The notebook handoff keeps the v0.8.0 install cell and this generated experiment together.
Model output map

What should you inspect after the solve?

References & model lineage

Where these model structures come from

Simple + Standard CGE
Hosoe, Gasawa & Hashimoto (2010)

Textbook of Computable General Equilibrium Modelling: Programming and Simulations. The teaching models follow the corresponding GAMS formulations.

IFPRI Standard
Löfgren, Harris & Robinson (2002)

A Standard Computable General Equilibrium (CGE) Model in GAMS. Microcomputers in Policy Research 5, IFPRI.

Reference ↗
CAMCGE
Condon, Dahl & Devarajan (1987)

Implementing a Computable General Equilibrium Model on GAMS: The Cameroon Model.

Paper ↗