Agent skill · Data & Analytics

joe-replication-and-data-policy

Use to prepare code and data materials for a Journal of Econometrics (JoE) submission under Elsevier's data-citation and availability norms, including reproducible Monte Carlo and the [dataset] reference tag. Reflects that JoE has no mandatory central replication archive — replication is encouraged, not universally mandated.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joe-replication-and-data-policy --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: Journal-of-Econometrics-Skills/skills/joe-replication-and-data-policy/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Replication & Data Policy (joe-replication-and-data-policy) ## When to trigger - You are assembling the code/data materials for a JoE submission or revision - You need to know whether a mandatory JoE-specific central replication archive is required - You are citing a dataset and need the correct Elsevier format - Your Monte Carlo or empirical illustration must be made reproducible for referees ## What JoE actually requires (and does not) The *Journal of Econometrics* applies **Elsevier's research-data policy**: authors are **encouraged** to deposit research data in a relevant repository, cite it in the article, and use Elsevier data-linking / co-submission routes where useful. JoE does not present a Journal-of-Applied-Econometrics-style mandatory central archive or Econometric-Society-style Data Editor package as a universal submission requirement in the current Guide for Authors. For JoE, replication materials for applied **illustrations** should be treated as expected best practice rather than a named central-archive mandate. Because JoE is a **methodology** journal, the reproducibility center of gravity is the **Monte Carlo and the estimator code**, not a large administrative-

What's inside
Steps it walks through
  1. When to trigger
  2. What JoE actually requires (and does not)
  3. Data citation (Elsevier [dataset])
  4. Reproducible methodology package (best practice)
  5. Anti-patterns
  6. Reproducibility pass for Journal of Econometrics
  7. Output format
More from Awesome-Journal-Skills
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About this skill
What does the joe-replication-and-data-policy skill do?

Use to prepare code and data materials for a Journal of Econometrics (JoE) submission under Elsevier's data-citation and availability norms, including reproducible Monte Carlo and the [dataset] reference tag. Reflects that JoE has no mandatory central replication archive — replication is encouraged, not universally mandated.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joe-replication-and-data-policy --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going