Table of contents
Running a model entails generation of a set of baseline projections. Projections are values for each variable in the model, for each of the years from the start of the projections to the end of the projections, potentially spanning many decades.
A simulation experiment also generates simulation projections that can be compared to the baseline projections.
The baseline projections and the simulation projections will naturally depend in which model is being run.
G-Cubed supports simulation experiments using a variety of model versions. These versions differ in terms of the regions included in the model, the sectors in each region, and the economic relationships embodied in the equations describing the model version.
Model versions also differ in terms of how the model parameters are calibrated using the available data about each region in the model. The calibration rules are built into G-Cubed and cannot be modified.
However, you can modify the data used to do parameter calibration, you can modify the data used to set up a model simulation, and you can modify the shocks that impact the simulated economy, through the course of the model projections.
All of files that specify the details (including the data) for a model version need to be in a set of files with a specific organisation within directories.
This document sets out how the files must be stored, and how the data files must be formatted.
A specific model is identified by the combination of its version and its build. A particular model version can have many different builds.
Version codes have two parts, a number and a letter. The number indicates the number of sectors in the version of the model. The letter is used to differentiate versions of the model that have different regions, even if the number of regions is the same. The letter is capitalised.
2R has 2 regions. Model
20J has 10 regions and 20 sectors. Model
20C also has 20 sectors but the regions are different from those in model version
Model versions are improved over time. Each improvement is released as a new build of the model version.
Model builds are also identified by a number and an optional string of other letters amd digits. Examples include
The prefix number in the model build increases over time. The suffix in the model build differentiates models of the same generation if they differ in material ways.
A specific version of a G-Cubed model requires a number of files to run. These files are organised into a root directory with a set of subdirectories. The gcubed package will load these files and produce certain outputs into this root directory.
A link to the
ZIP archive containing the files for the teaching model is in the navigation links on the left of this page.
All directories have lower-case names. This must not be changed because G-Cubed is case sensitive.
The file names that include parts like
replace with the version of the model, e.g. `2R`, `20C`, etc.
replace with the build of the model, e.g. `169`, `170`, `170log` etc.
replace with the build number of the model: e.g. `170` if the build is `17log`.
- <?> For anything else in <> use whatever text you want, but make sure that it matches the file name details given in the model configuration file, the
<MODEL_CONFIGURATION>.csvfile that must be in the root directory of the model’s directory structure.
The model version and the model build values used in file naming must match their values in the model configuration file.
<ROOT_DIRECTORY> ├── <MODEL_CONFIGURATION>.csv ├── data │ │ ├── <DATABASE>.csv │ │ ├── <IOTABLES>.csv │ │ ├── <SETPARAMETERS>.csv │ │ ├── <POPULATION>.csv │ │ ├── <PRODUCTIVITY>.csv │ │ ├── <AEEINEW>.csv ├── sym │ │ ├── <ROOTSYMFILE>.sym │ │ ├── *.sym │ │ ├── model_<VERSION>_<NUMBER>_eqnmap.sym │ │ ├── model_<VERSION>_<NUMBER>_optmap.sym │ │ ├── model_<VERSION>_<NUMBER>_varmap.sym │ │ ├── model_<VERSION>_<NUMBER>_varinfo.sym │ │ ├── model_<VERSION>_<NUMBER>_vars.sym │ │ ├── model_<VERSION>_<NUMBER>.lis │ │ ├── model_<VERSION>_<NUMBER>.py ├── simulations │ ├── <EXPERIMENT1> │ │ ├── <EXPERIMENT1_DESIGN>.csv │ │ ├── <LAYER1_DATA>.csv │ │ ├── ... │ ├── <EXPERIMENT2> │ │ ├── <EXPERIMENT2_DESIGN>.csv │ │ ├── <LAYER1_DATA>.csv │ │ ├── <LAYER2_DATA>.csv │ │ ├── ... │ ├── ...
The simulations subdirectory and the python subdirectory are optional but the data and the sym subdirectories must exist and they must contain the necessary files.
For details, review the data file documentation.
For details, review the sym file documentation.
<CONFIGURATION>.csv model configuration file contains all of the information needed to load a specific model. It must be in the root directory.
You can model your own configuration file on the configuration file for the teaching model
The configuration file sets up all of the details of the model that is to be used. This includes:
- the files where parameter calibration and initial variable state data are stored
- settings affecting parameter calibration
- settings affecting model linearisation
- settings for how the model is ‘solved’
- settings affecting the baseline projections
All of these settings are detailed in the documentation of the Model Configuration API.