ecta-identification
Use when the bottleneck is identification and inference for an Econometrica manuscript — identification conditions and asymptotic distribution theory for an estimator, or axioms and existence/uniqueness for a theory model. Stress-tests the formal foundations before the proofs and simulations are written.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecta-identification --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, Asymptotics, and Axiomatic Foundations (ecta-identification) ## When to trigger - An estimator is defined and shown consistent, but its **limiting distribution** is missing - Identification is asserted ("the parameter is identified") without a proof or counterexample analysis - A theory model posits behavior but the **axioms** are not isolated, or existence/uniqueness is unproven - Inference is proposed (standard errors, tests) without the asymptotic theory that justifies it This is the formal spine. Econometrica referees check it first; a gap here sinks the paper. **Re-slant for Econometrica.** Identification here is *not* primarily "do I have a credible research design for a causal estimate" (that framing belongs to AER / QJE / JPE / REStud). Econometrica's core is **identification and estimator validity inside structural and econometric models** — is the structural parameter / functional a one-to-one image of the data distribution, and does the proposed estimator have a derived limiting distribution that licenses its inference? Credible-design content (Branch D) is still in scope for the journal's applied/structural submissions, but the methodological object —
- When to trigger
- Branch A — Econometric theory: identification
- Branch B — Econometric theory: asymptotic distribution theory
- Branch C — Micro / game / decision theory: axioms and existence/uniqueness
- Branch D — Structural / empirical (and credible-design applied)
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
What does the ecta-identification skill do?
Use when the bottleneck is identification and inference for an Econometrica manuscript — identification conditions and asymptotic distribution theory for an estimator, or axioms and existence/uniqueness for a theory model. Stress-tests the formal foundations before the proofs and simulations are written.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecta-identification --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.