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 treatment‑effect coefficient matches ground‑truth results.
Significant Level Correctness: The model correctly reproduces the statistical significance level of the treatment‑effect coefficient.
Note: Codex serves as a strong code‑specialized upper‑bound baseline with high overall metrics across all four evaluation dimensions. However, it only supports one‑shot code generation without agent‑level interactive planning or multi‑round revision capabilities, and its public API is no longer available. MetricsAI outperforms vanilla‑LLM and general‑purpose‑agent baselines for interactive real‑world econometric‑research workflows.