Agent skill · Data & Analytics

jie-identification-strategy

Use when the identification or modelling strategy is the bottleneck for a Journal of International Economics (JIE) manuscript — gravity/PPML, trade-policy (tariff/RTA) shocks, shift-share/Bartik exposure, exchange-rate pass-through, or a structural open-economy model whose discipline against data is the "identification." Stress-tests the design to the JIE field bar before tables are drafted.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jie-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: 7 KB
Bundled scripts: none
Path: Journal-of-International-Economics-Skills/skills/jie-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 / Modelling Strategy (jie-identification-strategy) ## When to trigger - Your gravity regression is log-OLS and a referee will ask about zeros and heteroskedasticity - A trade-policy effect is identified off staggered RTA/tariff timing with plain TWFE - A shift-share (China-shock-style) design lacks a share- or shift-exogeneity argument - An open-economy/structural model's mapping to the data is not disciplined - You are unsure your design clears JIE's field-level credibility bar ## The JIE identification bar JIE judges credibility by the **standards of international economics**, where "identification" can be either a quasi-experimental design **or** the discipline a structural model imposes on the data. Both halves of the field have their own conventions; pick the branch that matches your paper. ## Branch A: Gravity (the workhorse of empirical trade) - Use **PPML** (`ppmlhdfe`, `fixest::fepois`), not log-OLS: it handles **zeros** and the heteroskedasticity that Santos Silva–Tenreyro showed bias log-linear gravity. - Control **multilateral resistance** with importer×time and exporter×time fixed effects; for policy effects add country-pair fixed effects. - Report the

What's inside
Steps it walks through
  1. When to trigger
  2. The JIE identification bar
  3. Branch A: Gravity (the workhorse of empirical trade)
  4. Branch B: Trade-policy shocks (tariffs, RTAs, NTMs)
  5. Branch C: Shift-share / Bartik exposure (e.g., the China shock)
  6. Branch D: Exchange rates, pass-through, international pricing
  7. Branch E: Structural / open-economy macro (model is the identification)
  8. Execution bridge (StatsPAI / Stata MCP)
  9. Checklist
  10. Anti-patterns
  11. Referee-pushback patterns with the venue fix
  12. Output format
  13. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the jie-identification-strategy skill do?

Use when the identification or modelling strategy is the bottleneck for a Journal of International Economics (JIE) manuscript — gravity/PPML, trade-policy (tariff/RTA) shocks, shift-share/Bartik exposure, exchange-rate pass-through, or a structural open-economy model whose discipline against data is the "identification." Stress-tests the design to the JIE field bar before tables are drafted.

How do I install it?

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

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