AER StatsPAI

Overview

aer-statspai is the implementation engine option for this stack. Where aer-identification and aer-robustness decide which estimator and which diagnostics a referee will demand, this skill is about running them — through StatsPAI, an open-source, agent-native Python platform that exposes 1,000+ causal-inference and econometrics functions behind one unified API, plus a machine-readable MCP server an agent can drive directly.

It is one more choice, not a replacement. The Stata / R / Python templates in templates/ remain the default for users who want drop-in, version-pinned scripts. Reach for StatsPAI when you want a single Python surface that covers the whole AER identification toolkit, self-describes its assumptions to an agent, and exports publication-ready LaTeX / Word / Excel tables from the estimator object.