Agent skill · Data & Analytics

jie-data-analysis

Use when building or auditing the empirical analysis for a Journal of International Economics (JIE) manuscript — constructing bilateral trade panels, estimating PPML gravity, running open-economy panels and local projections, calibrating/estimating structural models, and producing the robustness suite international-economics referees expect. Strengthens the analysis; it does not fabricate results.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jie-data-analysis --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-data-analysis/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

# Data Analysis (jie-data-analysis) ## When to trigger - Assembling a bilateral trade panel or a cross-country macro/finance panel - Choosing the gravity estimator and fixed-effect structure - Deciding which robustness checks an international-economics referee will demand - Disciplining a structural open-economy or trade model against the data ## Empirical norms at JIE JIE referees come from international trade or international macro/finance and apply that field's conventions. Match them. ### Data construction - **Trade**: build bilateral product-level flows from UN Comtrade or the cleaned **BACI** (CEPII); merge gravity covariates from the **CEPII Gravity** database (distance, contiguity, common language, RTAs); tariffs/NTMs from WITS/TRAINS or WTO. Keep **zeros** — they are informative and PPML uses them. - **International macro/finance**: assemble panels from IMF IFS/BOP/DOTS, BIS, the **External Wealth of Nations** (Lane–Milesi-Ferretti), Penn World Table; sovereign-debt/default histories from established crisis datasets. ### Estimation - **Gravity → PPML** (`ppmlhdfe`, `fixest::fepois`) with importer×time, exporter×time, and pair fixed effects; report the trade elasticity. - *

What's inside
Steps it walks through
  1. When to trigger
  2. Empirical norms at JIE
  3. Data construction
  4. Estimation
  5. Robustness suite (referees will ask)
  6. Execution bridge (StatsPAI / Stata MCP)
  7. Checklist
  8. Anti-patterns
  9. Referee-pushback patterns and the JIE-specific fix
  10. Worked micro-example (illustrative numbers)
  11. Output format
  12. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the jie-data-analysis skill do?

Use when building or auditing the empirical analysis for a Journal of International Economics (JIE) manuscript — constructing bilateral trade panels, estimating PPML gravity, running open-economy panels and local projections, calibrating/estimating structural models, and producing the robustness suite international-economics referees expect. Strengthens the analysis; it does not fabricate results.

How do I install it?

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