joe-identification-strategy
Use when the assumptions, regularity conditions, identification result, and asymptotic theory of a Journal of Econometrics (JoE) methodological paper are the bottleneck. Stress-tests the formal core — what is assumed, what is proved, and how general it is — before tables are drafted.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joe-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 & Asymptotic Strategy (joe-identification-strategy) ## When to trigger - The estimand is not formally identified, or identification is asserted not proved - Regularity conditions are stated loosely or are non-primitive (they smuggle in the conclusion) - The limiting distribution / convergence rate is claimed without a derivation path - You are unsure the result is general enough, or whether the conditions are verifiable ## The JoE formal bar At the *Journal of Econometrics*, "identification strategy" means the **formal core**: the assumptions under which the estimand is identified, the estimator is consistent, and inference is valid. The house norm is **mathematical rigor** — proofs and asymptotic derivations are expected, and referees probe whether conditions are *primitive and verifiable*, whether the asymptotics are honest, and whether the result generalizes beyond a convenient special case. This is methodology, not applied causal design: the deliverable is theorems plus the Monte Carlo that shows the asymptotics bite in finite samples. ## The formal-core checklist ### 1. Identification - State the **estimand** and the model precisely. Prove **identification** (
- When to trigger
- The JoE formal bar
- The formal-core checklist
- 1. Identification
- 2. Assumptions / regularity conditions
- 3. Asymptotic theory
- 4. Generality
- 5. Proof exposition
- Numerical / Monte Carlo confirmation (light here, full in joe-data-analysis)
- Assumption audit
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Output format
What does the joe-identification-strategy skill do?
Use when the assumptions, regularity conditions, identification result, and asymptotic theory of a Journal of Econometrics (JoE) methodological paper are the bottleneck. Stress-tests the formal core — what is assumed, what is proved, and how general it is — before tables are drafted.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joe-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.