jape-identification-strategy
Use when designing or defending the empirical identification of a Journal of Applied Econometrics (JAE) manuscript — a credible strategy applied to real data, with assumptions stated, tested, and reproducible. Covers time-series, panel, IV, and quasi-experimental designs typical of applied econometrics, tying every claim to depositable evidence.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jape-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 Strategy for JAE (jape-identification-strategy) ## When to trigger - Choosing or defending the empirical design for a JAE paper - A referee questions whether the estimand is identified on your real data - Mapping each identifying assumption to a test you can deposit in the archive ## JAE is applied: identification on real data JAE publishes **applications on real data**, so identification is a *credible empirical strategy*, not a theorem. The bar: a clearly stated **estimand**, **explicit identifying assumptions**, and **diagnostics that test them**, all reproducible from deposited code/data. Separate the econometric object from the substantive claim, and justify causal language with the *design*, not estimator branding. ## Common designs and load-bearing assumptions - **Time-series / macro-econometrics** (common at JAE): unit-root and cointegration handling; lag selection; shock identification (recursive, sign, external instruments); HAC inference. Show robustness to lag length and identification scheme. - **Panel / dynamic panel**: strict vs. sequential exogeneity; GMM instrument validity (Hansen/Sargan, AR(2)); avoid instrument proliferation. - **IV / GMM**: rel
- When to trigger
- JAE is applied: identification on real data
- Common designs and load-bearing assumptions
- Reproducibility is part of identification
- Diagnostic-to-archive map by design
- Worked example: an external-instrument pass-through IV (illustrative)
- Where JAE referees push back on identification
- Identification appendix block
- Execution bridge (StatsPAI / Stata MCP)
- Output format
- Supplementary resources
What does the jape-identification-strategy skill do?
Use when designing or defending the empirical identification of a Journal of Applied Econometrics (JAE) manuscript — a credible strategy applied to real data, with assumptions stated, tested, and reproducible. Covers time-series, panel, IV, and quasi-experimental designs typical of applied econometrics, tying every claim to depositable evidence.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jape-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.