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Use when assembling the proof appendix and any code/data deposit for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript under the AEA Data and Code Availability Policy. Covers proof appendices for pure theory plus numerical/structural/experimental code; it does not run your estimation.
Passed 21 of 22 test cases with the skill, and 18 of 22 without it.
3 fixed18 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
Assess an AEJ Micro package: all 3 theorems have self-contained proofs with prior auxiliary lemmas; Figure 1 simulation code has `run.py`, `requirements.txt`, `np.random.seed(42)`, and README mapping Figure 1 to `run.py`.
| Checked | Without skill | With skill |
|---|---|---|
| Evaluates proof self-containment as compliant | Passed | Passed |
| Evaluates environment dependency pinning as compliant | Missed | Passed |
The instructions your model reads when the skill loads.
For AEJ: Micro the "replication package" has two faces: the proof appendix that makes every theory claim verifiable, and, for any paper with data, code, experiments, or numerical results, an AEA Data and Code Repository deposit. Pure-theory papers still deposit any numerical/simulation code used to generate examples or figures.
The AEA operates a Data and Code Availability Policy administered by the AEA Data Editor (currently Lars Vilhuber — 检索于 2026-06,以官网为准), with materials deposited to the AEA Data and Code Repository on openICPSR. Build it as you go.
run_all) regenerating every table, figure, and numerical example from inputs.requirements.txt / conda (Python), renv.lock (R), Project.toml / Manifest.toml (Julia), recorded Stata ssc/net versions.test cases passed, vs 18 / 22 without
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