Agent skill · AI & Agents

jegeo-identification

Use when the inference argument is the bottleneck for a Journal of Economic Geography (JEG) manuscript — spatial causal designs, quantitative-spatial model identification, or case-based geographic inference. Stress-tests the strategy to JEG's two-community bar before exhibits are finalized.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jegeo-identification --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 9 KB
Bundled scripts: none
Path: Journal-of-Economic-Geography-Skills/skills/jegeo-identification/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

# Identification Strategy (jegeo-identification) ## When to trigger - A spatial regression rests on OLS + region fixed effects, or TWFE on staggered place-based policy - A quantitative-spatial / NEG model is estimated but it is unclear *what in the spatial data* identifies the key elasticities - Treatment in one region plausibly spills over to "control" regions (SUTVA across space is violated) - A qualitative/comparative-case paper makes a causal-sounding claim with no explicit logic of inference - You are unsure the strategy reads as credible to BOTH an economist and a geographer ## The JEG identification bar Because JEG bridges geographical economics and human geography, "identification" means different things by branch — but in all of them the **spatial structure of the data is part of the identification problem, not a nuisance**. Two threats are nearly universal at JEG and referees expect them confronted head-on: **spatial autocorrelation** in errors (inference) and **spatial spillovers / general-equilibrium leakage** across units (SUTVA). Pick the branch and make the data-to-claim mapping explicit. ## Branch A: Spatial causal design (place-based policy, regional treatment) - *

What's inside
Steps it walks through
  1. When to trigger
  2. The JEG identification bar
  3. Branch A: Spatial causal design (place-based policy, regional treatment)
  4. Branch B: Quantitative-spatial / NEG model identification
  5. Branch C: Case-based / qualitative geographic inference
  6. Shift-share / Bartik instruments in a spatial setting
  7. Execution bridge (StatsPAI / Stata MCP)
  8. Checklist
  9. Anti-patterns
  10. Worked vignette (illustrative)
  11. Referee pushback mapped to the identification fix
  12. Why spatial inference is non-negotiable at JEG
  13. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jegeo-identification skill do?

Use when the inference argument is the bottleneck for a Journal of Economic Geography (JEG) manuscript — spatial causal designs, quantitative-spatial model identification, or case-based geographic inference. Stress-tests the strategy to JEG's two-community bar before exhibits are finalized.

How do I install it?

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