Agent skill · Security

jegeo-robustness

Use when results for a Journal of Economic Geography (JEG) manuscript may be sensitive to spatial scale, the weight matrix, spatial autocorrelation, sample, or specification. Organizes robustness by spatial threat; it does not invent results.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jegeo-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: 8 KB
Bundled scripts: none
Path: Journal-of-Economic-Geography-Skills/skills/jegeo-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 Strategy (jegeo-robustness) ## When to trigger - The headline result might flip at a different spatial scale (region vs. commuting zone vs. grid cell) - A spatial-econometric model's results depend on the chosen spatial weight matrix W - Standard errors ignore spatial correlation across units, so inference is overstated - Reviewers may suspect the effect is driven by a few large regions, a boundary artifact, or one definition of the spatial unit - You have a long appendix of checks with no story about which threat each one answers ## The spatial robustness threats unique to JEG Most JEG robustness work is not generic — it answers threats that arise *because the data are spatial*. Organize by threat, not by a mechanical list, and lead with the spatial ones because that is where both communities probe hardest. | Threat | What a referee fears | The check that answers it | |--------|----------------------|---------------------------| | **Modifiable Areal Unit Problem (MAUP)** | the result is an artifact of how space was carved into units | re-estimate at ≥2 spatial scales / aggregations; show the effect survives | | **Spatial weight matrix sensitivity** | W was reverse-eng

What's inside
Steps it walks through
  1. When to trigger
  2. The spatial robustness threats unique to JEG
  3. Sequencing the robustness section
  4. The two robustness checks JEG referees ask for most
  5. Execution bridge (StatsPAI / Stata MCP)
  6. Checklist
  7. Anti-patterns
  8. Worked vignette (illustrative)
  9. Referee pushback mapped to the robustness fix
  10. A note on what NOT to over-do
  11. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jegeo-robustness skill do?

Use when results for a Journal of Economic Geography (JEG) manuscript may be sensitive to spatial scale, the weight matrix, spatial autocorrelation, sample, or specification. Organizes robustness by spatial threat; it does not invent results.

How do I install it?

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