Agent skill · Design & Presentation

jeea-robustness

Use when the headline result of a Journal of the European Economic Association (JEEA) manuscript needs to be shown stable to specification, sample, inference, and (for theory) assumption perturbations. Organizes robustness around the actual threats a general-interest referee will raise; it does not design the main result.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeea-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: 6 KB
Bundled scripts: none
Path: Journal-of-the-European-Economic-Association-Skills/skills/jeea-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 (jeea-robustness) ## When to trigger - The main estimate moves when a referee imagines a different specification - Inference rests on assumptions (homoskedasticity, few clusters) you have not stressed - A theory result might hinge on one functional form or parameter range - You have a pile of "robustness tables" but no organizing logic ## The JEEA robustness bar A general-interest referee does not want a wall of extra columns — they want to know the **headline result survives the threats that matter**. Organize robustness by **threat to the claim**, not by "more specifications." Each robustness exhibit should answer a specific objection a JEEA referee would raise, and the headline magnitude should be **stable in sign and roughly in size** across the credible perturbations. Report everything as **standard errors / confidence sets, never significance asterisks**, and ensure every robustness check is reproducible for the **JEEA Data Editor** check. ## Robustness organized by threat | Threat to the claim | Robustness response | |---------------------|---------------------| | Omitted variables / selection | Oster (2019) δ and bounded bias; alternative controls; coefficient-

What's inside
Steps it walks through
  1. When to trigger
  2. The JEEA robustness bar
  3. Robustness organized by threat
  4. Principles
  5. Execution bridge (StatsPAI / Stata MCP)
  6. Checklist
  7. Worked vignette (illustrative)
  8. Main-text vs. online-appendix split
  9. Anti-patterns
  10. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jeea-robustness skill do?

Use when the headline result of a Journal of the European Economic Association (JEEA) manuscript needs to be shown stable to specification, sample, inference, and (for theory) assumption perturbations. Organizes robustness around the actual threats a general-interest referee will raise; it does not design the main result.

How do I install it?

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