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– Stochastic Programming (SP) with EMP - the stochastic programming (SP) extension of GAMS Extended
Mathematical Programming (EMP).
– Mathematical Programming System for General Equilibrium analysis (MPSGE) - A mathematical programming
system for general equilibrium analysis which operates as a subsystem within GAMS.
* MPSGE Models in GAMS
* Demand Theory and General Equilibrium: An Intermediate Level Introduction to MPSGE
* Constant Elasticity of Substitution Functions: Some Hints and Useful Formulae
* A Library of Small Examples for Self-Study
* Comparing the Performance of Flexible Functional Forms
* General Equilibrium with Public Goods
* Kevin O'Rourke: CGE and Economic History
* Linking Implan Social Accounts to MPSGE
* A partial list of publications based on MPSGE
* The MPSGE guide is also available as PDF
Objective Function
This is a reminder that GAMS has no explicit entity called the objective function. To specify the function to be optimized,
you must create a variable, which is free (unconstrained in sign) and scalar-valued (has no domain) and which appears in an
equation definition that equates it to the objective function.
The GAMS Model
The above can easiliy be formulated using the GAMS language. The use of concise algebraic descriptions makes the model highly compact, with a logical structure. Internal documentation, such as explanation of parameters and units of measurement, makes the model easy to read.
Documentation
The GAMS model representation is in a form that can be easily read by people and by computers. This means that the GAMS
program itself is the documentation of the model, and that the separate description required in the past (which was a burden to
maintain, and which was seldom up-to-date) is no longer needed. Moreover, the design of GAMS incorporates the following
features that specifically address the user's documentation needs:
• A GAMS model representation is concise, and makes full use of the elegance of the mathematical representation.
• All data transformations are specified concisely and algebraically. This means that all data can be entered in their
most elemental form and that all transformations made in constructing the model and in reporting are available for
inspection.
• Explanatory text can be made part of the definition of all symbols and is reproduced whenever associated values are
displayed.
• All information needed to understand the model is in one document.
Of course some discipline is needed to take full advantage of these design features, but the aim is to make models more
accessible, more understandable, more verifiable, and hence more credible.
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