red-identification-strategy
Use when making the inferential backbone of a Review of Economic Dynamics (RED) manuscript credible, adapting to the paper type. For theoretical/computational papers it covers model assumptions, regularity conditions, and what disciplines the parameters; for empirical dynamic papers it covers causal design. RED's scope spans all three, so this skill branches accordingly.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-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 & Model Logic for RED (red-identification-strategy) ## When to trigger - Establishing why the paper's central claim is credible, before robustness - Unsure whether RED expects a causal-design argument or a model-assumptions argument - A computational paper where "identification" means parameter discipline, not instruments ## Branch by paper type (RED takes all three) ### Theoretical / computational dynamic models The credibility question is about **assumptions, existence, and discipline**, not instruments: - State the **model assumptions** and **regularity conditions** explicitly (preferences, technology, stationarity, boundedness, transversality); flag where existence/uniqueness of equilibrium is proved or assumed. - Make **proof exposition** clean: state results as propositions, separate assumptions from claims, and put long proofs in an appendix while keeping the intuition in the body. - Show **parameter discipline** — which parameters are calibrated to data targets, which are estimated, and which are free; justify each so results are not an artifact of free parameters. - Discuss **generality**: what survives relaxing key assumptions, and where the result is kni
- When to trigger
- Branch by paper type (RED takes all three)
- Theoretical / computational dynamic models
- Methodological / computational-method papers
- Empirical dynamic papers
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Parameter-discipline table
- Model-solution audit block
- Worked discipline review: a search-and-matching draft
- Credibility objections RED referees raise
- Supplementary resources
What does the red-identification-strategy skill do?
Use when making the inferential backbone of a Review of Economic Dynamics (RED) manuscript credible, adapting to the paper type. For theoretical/computational papers it covers model assumptions, regularity conditions, and what disciplines the parameters; for empirical dynamic papers it covers causal design. RED's scope spans all three, so this skill branches accordingly.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-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.