A simple checklist for verifying AI-generated math and code in economics research
Afinetheorem · x · 2026-08-04
The post shares a practical checklist for validating AI-generated code and algebra in economics research.
- For algebra, verify derivations with symbolic Python (sympy).
- Independently solve the equilibrium numerically from primitives, then compare the numerical result with the closed-form expression.
- For empirical code, run Monte Carlo tests on synthetic data that mirrors the real data structure, then check whether the estimator recovers the intended effects on average.
The attached figure shows analytical formulas matching a full general-equilibrium solver across multiple quantities, illustrating the verification approach in practice.
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