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aer-statspai

separate

Use when aer-identification has fixed the design, after methodology choice and before aer-robustness or aer-tables-figures, to run an AER-track analysis with StatsPAI — the agent-native Python engine and MCP server for causal inference, robustness, sensitivity, and publication-ready table export.

When to use

• You want to **run** the empirical analysis interactively from the agent, not
• You want one Python dependency covering DiD, IV, RDD, SCM, matching, DML, and
• A StatsPAI MCP server is connected (tools prefixed `statspai`) and you can
• You need publication-ready tables straight from the estimator object

When not to use

• The deposited replication package must be **Stata-only** (some coauthors /
• You want exact, pinned, language-native scripts to commit verbatim into an
• The methodological *choice* is the open question — go to `aer-identification`

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