Agent skill · Design & Presentation

jme-identification-strategy

Use when the identification of a monetary or macro shock (or a structural mechanism) is the bottleneck for a Journal of Monetary Economics (JME) manuscript — high-frequency surprises, narrative shocks, proxy/SVAR, local projections, sign restrictions, and model-based identification. Stress-tests the design before exhibits are drafted.

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claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jme-identification-strategy --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: Journal-of-Monetary-Economics-Skills/skills/jme-identification-strategy/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 (jme-identification-strategy) ## When to trigger - The "monetary shock" is a raw policy-rate change with no exogeneity argument - A SVAR uses a recursive ordering that referees will dispute - High-frequency surprises are not separated from the Fed "information effect" - A DSGE mechanism is asserted but not identified from the data/moments - You are unsure the design clears the JME bar for a credible macro claim ## The JME identification bar JME is **monetary economics and macroeconomics**, so "identification" means isolating an exogenous **shock** or pinning down a **structural mechanism**, not a micro treatment effect. With **single anonymized review** and **at least two specialist referees**, the identifying assumption must be legible and defended in the registers macroeconomists expect. The credibility ladder the field implicitly applies (strong → weaker): 1. **High-frequency identification** — monetary surprises in a narrow window around FOMC announcements, with the **pure policy shock separated from the information/forward-guidance component** (Nakamura–Steinsson, Miranda-Agrippino–Ricco, Jarociński–Karadi-style decompositions). 2. **Narrative shocks*

What's inside
Steps it walks through
  1. When to trigger
  2. The JME identification bar
  3. Branch paths
  4. Branch A: High-frequency / narrative monetary shocks
  5. Branch B: SVAR / proxy-SVAR
  6. Branch C: Local projections (Jordà)
  7. Branch D: DSGE / quantitative mechanism
  8. Execution bridge (StatsPAI / Stata MCP)
  9. Checklist
  10. Output format
More from Awesome-Journal-Skills
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About this skill
What does the jme-identification-strategy skill do?

Use when the identification of a monetary or macro shock (or a structural mechanism) is the bottleneck for a Journal of Monetary Economics (JME) manuscript — high-frequency surprises, narrative shocks, proxy/SVAR, local projections, sign restrictions, and model-based identification. Stress-tests the design before exhibits are drafted.

How do I install it?

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