general-equilibrium-model-builder

To compute Walrasian equilibrium prices and allocations in Julia, you need to define a pure-exchange economy representation with endowments and preferences, then use a nonlinear solver to calculate the fixed points for equilibrium outcomes.

A Walrasian general equilibrium model determines market-clearing prices and allocations for pure-exchange economies. Computational economics applies to it by using Julia-based nonlinear solvers to numerically compute the theoretical fixed points instead of relying on manual algebraic solutions.

Yes, you can generate Edgeworth box visualizations and contractual curves for microeconomic theory pedagogy. The framework supports educational demonstrations by linking theoretical welfare theorems with computational experiments for classroom use.

The general equilibrium solver requires a Julia-based workflow environment but lists no external package dependencies, utilizing a built-in nonlinear solver to compute fixed points for pure-exchange economies directly.

The limitation of using a pure-exchange economy representation is that it focuses strictly on endowments and preferences for allocation computation, excluding production sectors, externalities, and dynamic constraints from the general equilibrium modeling scope.