Applied General Equilibrium Modelling ANNARES, STAGE and R23 Models

© Scott McDonald

TRAINING

The Models


MODELS


The models are SAM based models implemented in GAMS. The models depend on the data and price systems developed by Richard Stone and associates. The models are descendants of the USDA’s single country CGE model from 1990 (Robinson, et al., 1990; Kilkenny, 1991), which are developments of Dervis, de Melo and Robinson (1982).


ANARRES is a suite of global/multi region CGE models calibrated using data from the GTAP and/or WIOD databases presented as global SAMs.


STAGE is a suite of single country CGE models that require country specific SAMs for calibration.


R23 is a global development of the  well-known 123 model.


The codes for these versions are robust formulations. Technical documents and User Guides for variants of the models are available.


LICENSING


The codes for STAGE_1, ANARRES_1 and R23 are licensed under Creative Commons BY NC (Attribution but Non Commercial). (https://creativecommons.org/licenses/by-nc/4.0/ ). As are the codes for STAGE_t and ANARRES_t that are supplied for training courses.


Comparative static and recursive dynamic versions of STAGE_3 are ANARRES_3 are available on request.


STAGE and ANARRES (latest versions) are NOT open-source. They may be licensed.  



‘CGE models are NOT Black Boxes’


Given an understanding of general equilibrium (GE) microeconomics, and some macroeconomics, and the ability to read a simple programming language, all model insights are ultimately obvious. GE systems may be complex, just as the world is complex; but an unwillingness to learn enough economics and a ‘language’ does not make a CGE model a ‘black box’.

Training


All courses are now open access


All course materials are licensed under

CC BY-NC-ND 4.0


All courses use GAMS with GAMS Studio as the editor


1. ‘Intro to GAMS and GAMS Studio


2. ‘Introduction to SAMs


3. Intro to Practical CGE Course


4. Practical Single Country CGE Course


5. Practical Global CGE Course


6. Practical Recursive Dynamic CGE Course


7. ‘SAM Estimation