Agent skill

aeja-robustness

Use when an American Economic Journal: Applied Economics (AEJ: Applied) manuscript's headline estimate must be shown to survive specification, sample, and inference choices before submission or in an R&R. Builds the robustness suite a sophisticated referee expects; it does not establish the primary identification (aeja-identification) or format the exhibits (aeja-tables-figures).

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-robustness --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: AEJ-Applied-Economics-Skills/skills/aeja-robustness/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

# Robustness Suite (aeja-robustness) ## When to trigger - The main estimate is in hand and you need to show it is not an artifact of one specification - A referee asks "is this robust to [alternative controls / sample / functional form / inference]?" - The result depends on a bandwidth, a clustering choice, or a sample-selection rule that could be questioned - You suspect specification-search concerns and want to pre-empt them ## The AEJ: Applied robustness bar AEJ: Applied referees probe whether the headline number is **stable, honestly inferred, and not the product of researcher degrees of freedom**. Robustness here is not a wall of regressions — it is a **targeted set of checks each tied to a specific threat to the design**. Map every plausible objection to the one check that answers it, and report the checks so the reader sees the estimate barely moves. | Threat to the result | The check that answers it | |----------------------|---------------------------| | Omitted confounders | Oster δ / coefficient-stability bounds; added controls in steps | | Specification search | a specification curve / multiverse; pre-registered primary spec | | Functional form | levels vs logs, alterna

What's inside
Steps it walks through
  1. When to trigger
  2. The AEJ: Applied robustness bar
  3. Robustness craft
  4. Execution bridge (StatsPAI / Stata MCP)
  5. Checklist
  6. Anti-patterns
  7. Worked vignette (illustrative)
  8. Referee pushback mapped to the robustness fix
  9. Output format
More from Awesome-Journal-Skills
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About this skill
What does the aeja-robustness skill do?

Use when an American Economic Journal: Applied Economics (AEJ: Applied) manuscript's headline estimate must be shown to survive specification, sample, and inference choices before submission or in an R&R. Builds the robustness suite a sophisticated referee expects; it does not establish the primary identification (aeja-identification) or format the exhibits (aeja-tables-figures).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-robustness --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