jeg-identification-strategy
Use when the inferential backbone of a Journal of Economic Growth (JEG) manuscript needs stress-testing — empirical papers via causal/econometric identification for growth, theory papers via assumptions, results, proof exposition, and generality. Forks by paper type, as a specialist growth and dynamic-macroeconomics outlet requires.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-identification-strategy --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Identification & Argument Strategy (jeg-identification-strategy) ## When to trigger - An empirical growth claim rests on a cross-country regression with endogenous regressors - A theoretical result depends on an assumption you have not justified or tested for tightness - You are unsure whether your inferential backbone clears a growth-specialist bar JEG publishes both theory and empirics, so this skill has **two tracks**. Pick the one matching your paper; quantitative/calibrated papers use both. ## Track E — Empirical identification (causal design for growth) Growth empirics carry a hard endogeneity problem: most candidate determinants (institutions, human capital, finance, openness) are co-determined with income. The bar: ### Cross-country / dynamic-panel growth - If you run growth-on-determinant regressions, confront **reverse causality and omitted deep determinants** explicitly. A bare OLS or static panel will not convince. - Dynamic-panel **system GMM** (Arellano-Bond / Blundell-Bond) is common, but it is a trap if abused: **cap and report the instrument count**, report the **Hansen-J** over-identification test and **AR(2)** serial-correlation test, and show results are not d
- When to trigger
- Track E — Empirical identification (causal design for growth)
- Cross-country / dynamic-panel growth
- Clean causal shock (where one exists)
- Track T — Theoretical argument (assumptions, results, generality)
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Persistence-design defenses (Track E extension)
- Output format
What does the jeg-identification-strategy skill do?
Use when the inferential backbone of a Journal of Economic Growth (JEG) manuscript needs stress-testing — empirical papers via causal/econometric identification for growth, theory papers via assumptions, results, proof exposition, and generality. Forks by paper type, as a specialist growth and dynamic-macroeconomics outlet requires.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-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 984 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.