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G-Cubed
G-Cubed models
Economic scenarios
Getting started
Model configuration
Model definitions
Baseline projections
Experiment design
Running experiments
Data files
Reporting
Charts
Derived variables
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Python runtime and dependencies
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YAML formats
Model configuration YAML
Identity and model features
Model years
Source-data mapping columns
Model file names
Calibration settings
Projection, solution and diagnostic settings
Baseline tuning
Real-interest-rate tuning
Monetary-policy tuning
Model configuration validation
Chartpack YAML
Chartpack structure and metadata
Defaults, sections and inheritance
Exact chart series
Chart series selectors
Chart labels, styles and units
Chart years and axis bounds
Chartpacks generated by setup
Chartpack validation and troubleshooting
Design YAML
Simulation layers
Layer order and event years
Layer filenames and CSV data
Empty and specialised designs
Design generation and validation
Setup YAML
Setup document shape
Member groups and selectors
Generated simulation layers
Shock projections
Permanent constant shocks
Temporary constant shocks
Explicit shock values
Explicit shocks with a constant tail
Linear phase-in shocks
Piecewise-linear shocks
Combining shock projections
Maintained simulation layers
Optimisation targets
Generate designs
Generate chartpacks
Setup generation, ownership and errors
Python API
McKibbin Software Group
Search G-Cubed
G-Cubed model 12W build 199
Build 199 uses Python G-Cubed 5.0.1.4 and the current YAML model workflow.
Details
Equations
Parameters
Current file formats
Model configuration YAML
Design YAML
Setup YAML
Chartpack YAML
G-Cubed