jbes-identification-strategy
Use when the methodological core of a Journal of Business & Economic Statistics (JBES) paper is the bottleneck — assumptions, regularity conditions, asymptotic theory, and Monte Carlo design for a new estimator, test, or algorithm. Stress-tests the method's validity, not a causal design.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jbes-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.
# Method Validity & Asymptotics (jbes-identification-strategy) ## When to trigger - The estimator/test is proposed but its assumptions and limiting theory are not nailed down - The asymptotic distribution, consistency, or rate is asserted without full conditions - The Monte Carlo design does not yet show where the method holds and where it breaks - For an applied paper, what parameter your method identifies (and under what conditions) is unclear ## What "identification" means at a methods journal At JBES the load-bearing question is usually not a causal-design story but **whether the method delivers valid inference for its target under stated conditions**. Because JBES demands methodological novelty with **clear empirical relevance**, the assumptions cannot be so strong that no real data set — including the paper's own application — satisfies them. The credibility ladder a referee applies, strongest first: 1. **Identification of the target** — the parameter/functional is identified from the population moments the method uses, under stated conditions. 2. **Regularity conditions** — explicit (moment existence, smoothness, mixing/dependence, rate and rank conditions), each motivated a
- When to trigger
- What "identification" means at a methods journal
- Branch paths
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Worked vignette: nailing down a weak-IV-robust estimator's validity
- Referee-pushback patterns on method validity (venue-specific fixes)
- Output format
What does the jbes-identification-strategy skill do?
Use when the methodological core of a Journal of Business & Economic Statistics (JBES) paper is the bottleneck — assumptions, regularity conditions, asymptotic theory, and Monte Carlo design for a new estimator, test, or algorithm. Stress-tests the method's validity, not a causal design.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jbes-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.