Agent Skillsbrycewang-stanford/Awesome-Journal-Skills › restat-replication-package

restat-replication-package

GitHub

协助研究人员为REStat期刊构建符合数据与代码可用性政策的数据和代码复制包。包括整理目录结构、编写README说明文档、规划主脚本以确保证果可复现,并处理专有数据的合规性声明。

Review-of-Economics-and-Statistics-Skills/skills/restat-replication-package/SKILL.md brycewang-stanford/Awesome-Journal-Skills

触发场景

准备向REStat哈佛Dataverse提交论文数据和代码 需要组装README文件或主分析脚本 不确定REStat数据代码政策的具体要求 使用受限数据需制定访问计划

安装

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-replication-package -g -y
更多选项

非标准路径

npx skills add https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-replication-package -g -y

不安装直接使用

npx skills use brycewang-stanford/Awesome-Journal-Skills@restat-replication-package

指定 Agent (Claude Code)

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-replication-package -a claude-code -g -y

安装 repo 全部 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --all -g -y

预览 repo 内 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --list

SKILL.md

Frontmatter
{
    "name": "restat-replication-package",
    "description": "Use when assembling the data-and-code replication package for a The Review of Economics and Statistics (REStat) manuscript under the journal's Data and Code Availability Policy — the deposit to the REStat Harvard Dataverse with a README that permits replication. Builds the package; it does not run the primary analysis."
}

Replication Package & Data/Code Policy (restat-replication-package)

When to trigger

  • The paper is approaching acceptance and a data/code deposit will be required
  • You use proprietary or restricted data and must plan for the policy before paying the fee
  • A README, master script, or directory structure needs to be assembled
  • You are unsure what REStat's Data and Code Availability Policy actually requires

The REStat data/code bar (refreshed 2026-06-20; live-check the official policy page)

REStat operates a Data and Code Availability Policy for empirical papers. The signature features that distinguish REStat from its siblings:

  • Deposit to the REStat Harvard Dataverse (dataverse.harvard.edu/dataverse/restat) — REStat uses a proper Dataverse archive, NOT openICPSR (which the AEA journals use) and NOT the JAE Data Archive. Getting the repository right is a load-bearing REStat detail.
  • Post data and code, with documented README files, before publication. The goal is to provide enough information to permit replication of the results in the paper.
  • Proprietary / restricted data: indicate this at submission. When data cannot be posted, you must document the data and provide instructions for how other researchers can obtain it. Practical note: if your paper uses proprietary data, the journal asks you not to pay the submission fee until the editorial office confirms your data comply with the policy.
  • Policy generally applies to papers from volume 92 onward per the REStat Harvard Dataverse API description.

Package architecture (build it as you go)

restat-replication/
  README.(md|pdf)        # the heart of the deposit — see contents below
  data/
    raw/                 # source data (or access instructions if restricted)
    processed/           # built analysis files, regenerated by code
  code/
    00_run_all.do/.R/.py # one master script regenerating EVERY exhibit
    01_build.*           # raw → processed
    02_analysis.*        # processed → estimates
    03_exhibits.*        # estimates → tables/figures
  output/
    tables/  figures/    # exactly what appears in the paper + appendix

README contents (what permits replication)

  • Data availability statement: each dataset, its source, terms, and (if restricted) exact access instructions; flag proprietary data clearly.
  • Computational requirements: software + versions (Stata 18 MP / R 4.x / Python 3.x), packages with versions, OS, approximate run time and hardware.
  • Instructions: how to run 00_run_all from raw data to every table/figure; what each script produces.
  • Mapping: a table linking each exhibit number in the paper/appendix to the script and line that generates it.
  • Seeds: set and report seeds for any simulation / bootstrap / randomization inference.

Checklist

  • Target archive confirmed: REStat Harvard Dataverse (not openICPSR, not JAE)
  • One master script regenerates every table and figure from raw (or processed) data
  • README has data-availability statement, computational requirements, run instructions, exhibit↔script map
  • Software/package versions pinned; seeds set and reported
  • Proprietary/restricted data flagged at submission; access instructions documented
  • (Proprietary data) submission fee not paid until editorial office confirms policy compliance
  • Every number in the paper traces to deposited code (consistency with restat-tables-figures)

Anti-patterns

  • Depositing to openICPSR or the JAE archive — REStat uses its own Harvard Dataverse
  • Treating the package as a post-acceptance chore — assemble it alongside the analysis
  • A README that lists files but gives no run instructions or exhibit↔script mapping
  • Unpinned package versions / unset seeds — results that will not reproduce
  • Discovering only at acceptance that proprietary data cannot be posted (declare at submission)
  • Paying the submission fee on a proprietary-data paper before compliance is confirmed

Output format

【Archive】REStat Harvard Dataverse confirmed? [Y/N]
【Master script】00_run_all regenerates all exhibits from data? [Y/N]
【README】availability stmt + compute reqs + instructions + exhibit↔script map? [Y/N]
【Versions/seeds】software+packages pinned; seeds set/reported? [Y/N]
【Proprietary data】flagged at submission; access instructions; fee held? [Y/N / n/a]
【Traceability】every paper number ← deposited code? [Y/N]
【Next step】restat-referee-strategy

版本历史

  • 1839142 当前 2026-07-05 14:22

    政策信息更新于2026-06-20,确认使用REStat Harvard Dataverse而非openICPSR。

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元信息

文件数
0
版本
c82fe76
Hash
25cb5138
收录时间
2026-07-05 14:22

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