Compilation Success: Generated econometric code executes completely without runtime or syntax errors.
Partial Replication: The target treatment coefficient can be reproduced within a 5% relative error threshold.
Correct Coefficient Direction: The sign (positive/negative) of the treatmentāeffect coefficient matches groundātruth results.
Significant Level Correctness: The model correctly reproduces the statistical significance level of the treatmentāeffect coefficient.
Note: Codex serves as a strong codeāspecialized upperābound baseline with high overall metrics across all four evaluation dimensions. However, it only supports oneāshot code generation without agentālevel interactive planning or multiāround revision capabilities, and its public API is no longer available. MetricsAI outperforms vanillaāLLM and generalāpurposeāagent baselines for interactive realāworld econometricāresearch workflows.