jcf-identification-strategy
Use when designing or defending the causal identification strategy for a Journal of Corporate Finance (JCF) empirical paper — choosing and stressing a design (DID/staggered shocks, IV/GMM, RDD, event study, matching) for firm-level data with endogenous corporate decisions. It evaluates and hardens the design; it does not run the regressions.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcf-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 Strategy (jcf-identification-strategy) ## When to trigger - Picking a credible design for a corporate-finance question with endogenous choices - Pre-empting the referee's "your X is endogenous / reverse-causal" objection - Defending parallel trends, exclusion restrictions, or window cleanliness ## Why JCF needs a real design Corporate-finance variables (leverage, governance, payout, M&A) are **choices**, so OLS-with-controls invites endogeneity, omitted-variable, and reverse-causality critiques. JCF is empirical corporate finance: a clean identification strategy is what separates a publishable paper from a desk reject. Match the design to the source of variation. ## Design menu (corporate finance) - **Staggered DID** around law/regulation/governance shocks — use **modern estimators** (Callaway–Sant'Anna, Sun–Abraham, de Chaisemartin–D'Haultfœuille), run **Goodman-Bacon** diagnostics, show **event-study leads** for pre-trends. Plain TWFE on staggered timing is a known pitfall. - **IV / dynamic-panel GMM** — justify the exclusion restriction in words, report **first-stage F** and weak-IV-robust CIs; for leverage dynamics, `xtabond2`-style GMM with instrument-count di
- When to trigger
- Why JCF needs a real design
- Design menu (corporate finance)
- Hardening checklist
- Shock-quality grading for corporate-finance settings
- Worked stress test: a staggered-adoption claim
- Selection-into-treatment: the paragraph referees look for
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Output
What does the jcf-identification-strategy skill do?
Use when designing or defending the causal identification strategy for a Journal of Corporate Finance (JCF) empirical paper — choosing and stressing a design (DID/staggered shocks, IV/GMM, RDD, event study, matching) for firm-level data with endogenous corporate decisions. It evaluates and hardens the design; it does not run the regressions.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcf-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.