From aej-applied-economics-skills
Assembles the data and code replication package for AEJ: Applied manuscripts to meet AEA Data and Code Availability Policy requirements, including openICPSR deposit, README, and Data Availability Statement.
How this skill is triggered — by the user, by Claude, or both
Slash command
/aej-applied-economics-skills:aeja-replication-packageThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- The paper is empirical and you are heading toward acceptance (or want to build the package early)
The single most distinctive AEJ: Applied differentiator is the AEA Data and Code Availability Policy, administered by the AEA Data Editor (Lars Vilhuber). Papers offered a revise-and-resubmit are asked to submit a data replication package at resubmission, and accepted papers must clear the Data Editor's compliance and reproducibility checks before publication. The default home is the AEA Data and Code Repository on openICPSR; other trusted repositories require appropriate Data Editor access. Build this package as you analyze; do not treat it as an acceptance-day formality.
| Component | Requirement |
|---|---|
| Data files | All data used, unzipped, in open/documented formats; or, for restricted data, a precise access path |
| Analysis + transformation code | Every script from raw data → cleaned data → each table/figure |
| Master script | One run_all that regenerates every exhibit from raw inputs |
| README | AEA README template: data sources, access, computational requirements, run instructions, exhibit-to-code mapping |
| Data Availability Statement (DAS) | States provenance and access terms for each dataset; required in the paper |
| Instruments | Survey instruments / experiment instructions for own-data studies |
version + recorded ssc/net package versions; requirements.txt/conda env (Python); renv.lock (R).code/05_main.do, Figure 2 → code/06_event_study.R, etc.Adapt the vendored skeleton in
../../resources/code/(master script → clean → descriptive → DID/IV/RD/DML → mechanism → robustness → tables) as the package backbone.
run_all master script regenerates every table and figure from raw data【Master script】run_all regenerates all exhibits from raw? [Y/N]
【Data】all deposited unzipped, or restricted path + synthetic extract? [state]
【README】AEA template + exhibit-to-code map complete? [Y/N]
【DAS】written for every dataset with access terms? [Y/N]
【Reproducibility】versions pinned + seeds set + no absolute paths + clean fresh run? [Y/N]
【Restricted/exemption】declared early? [Y/N/NA]
【Next step】aeja-referee-strategy (or aeja-submission)
../../resources/code/ — reproducible Stata + Python skeleton to adapt as the package backbone../../resources/official-source-map.md — official AEA URLs behind the data/code policynpx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin aej-applied-economics-skillsBuilds the data and code deposit for an AEJ: Economic Policy manuscript to satisfy the AEA Data and Code Availability Policy. Creates the openICPSR deposit, README, and restricted-data access paths.
Assembles the data and code deposit for an AER: Insights manuscript to meet AEA Data Editor's reproducibility requirements. Builds package and README; does not run the analysis.
Assembles the data-and-code replication package for a REStat manuscript, including deposit to the REStat Harvard Dataverse with a replication-permitting README.