Agent skill · Code Review & Quality

rof-identification-strategy

Use when the credibility core of a Review of Finance (RoF) manuscript is the bottleneck — causal identification for empirical finance (DID, IV, RDD, event study, natural experiments) OR assumptions, results, and proof exposition for theoretical finance. Stress-tests the design or model to the top-three-finance-journal standard.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rof-identification-strategy --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: Review-of-Finance-Skills/skills/rof-identification-strategy/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Identification & Theory Strategy (rof-identification-strategy) ## When to trigger - The empirical core is panel regressions with controls and an undefended causal claim - A DID uses two-way fixed effects on staggered timing without modern estimators - An IV's first stage is weak or its exclusion restriction is unargued - The paper is **theoretical** and the assumptions, generality, or proof exposition are the weak link ## The RoF credibility bar RoF referees apply **top-three-finance-journal standards** to the inferential or logical spine. Because RoF publishes **both empirical and theoretical** finance, "identification" means two different things — pick the branch matching your paper. ### Branch E1 — Empirical: causal design for finance - **Natural experiments / shocks**: regulatory changes, index reconstitutions, staggered law adoption. Name the identifying variation in one sentence and defend its exogeneity. - **DID / event study**: under staggered adoption, move beyond TWFE (Callaway–Sant'Anna, Sun–Abraham, de Chaisemartin–D'Haultfœuille); report a Goodman-Bacon decomposition and clean pre-trends. - **IV**: strong first stage (report F); weak-IV-robust inference when needed;

What's inside
Steps it walks through
  1. When to trigger
  2. The RoF credibility bar
  3. Branch E1 — Empirical: causal design for finance
  4. Branch T1 — Theoretical: assumptions, results, proof exposition
  5. Diagnostics placement grid — body vs. internet appendix
  6. Worked vignette — a staggered short-sale-ban DID
  7. Referee pushback and the venue-specific repair
  8. Execution bridge (StatsPAI / Stata MCP)
  9. Anti-patterns
  10. Output format
More from Awesome-Journal-Skills
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About this skill
What does the rof-identification-strategy skill do?

Use when the credibility core of a Review of Finance (RoF) manuscript is the bottleneck — causal identification for empirical finance (DID, IV, RDD, event study, natural experiments) OR assumptions, results, and proof exposition for theoretical finance. Stress-tests the design or model to the top-three-finance-journal standard.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rof-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.

Keep going