Agent skill · Data & Analytics

jeem-identification

Use when the identification argument is the bottleneck for a Journal of Environmental Economics and Management (JEEM) manuscript — an environmental-policy causal design, a climate/weather IV, or a revealed- or stated-preference valuation. Stress-tests the data-to-welfare mapping before exhibits are finalized; it does not invent evidence or citations.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeem-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-Environmental-Economics-and-Management-Skills/skills/jeem-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 (jeem-identification) ## When to trigger - A regulation/permit-market effect rests on TWFE with staggered adoption, or on OLS + controls - A hedonic or travel-cost estimate could be confounded by **spatial sorting** or omitted amenities - A stated-preference WTP could be contaminated by hypothetical bias, scope insensitivity, or yea-saying - A weather/pollution IV's exclusion restriction or its adaptation interpretation is challenged - You are unsure the design recovers a **welfare-relevant** parameter, not just a reduced-form effect ## The JEEM identification bar JEEM identification is judged on two axes at once: the **causal/preference-recovery argument** must be credible, *and* the recovered object must be **welfare-relevant** — a marginal damage, a WTP, a pass-through, an abatement cost. Environmental data carry field-specific threats (spatial dependence, sorting, monitoring-station selection, weather endogeneity through adaptation) that generic applied-micro referees miss but JEEM referees will not. Pick the branch and make the mapping from data to the welfare object explicit. ## Branch A — Environmental-policy causal design - **Regulation / standards

What's inside
Steps it walks through
  1. When to trigger
  2. The JEEM identification bar
  3. Branch A — Environmental-policy causal design
  4. Branch B — Climate / weather IV and damages
  5. Branch C — Revealed-preference valuation (hedonics, travel cost)
  6. Branch D — Stated-preference valuation (CV, discrete-choice experiments)
  7. Execution bridge (StatsPAI / Stata MCP)
  8. Checklist
  9. Anti-patterns
  10. Worked vignette (illustrative)
  11. Referee pushback mapped to the identification fix
  12. From identification to a welfare number
  13. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jeem-identification skill do?

Use when the identification argument is the bottleneck for a Journal of Environmental Economics and Management (JEEM) manuscript — an environmental-policy causal design, a climate/weather IV, or a revealed- or stated-preference valuation. Stress-tests the data-to-welfare mapping before exhibits are finalized; it does not invent evidence or citations.

How do I install it?

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