jf-identification
Use when the causal-identification strategy is the bottleneck for a corporate / empirical The Journal of Finance (JF) manuscript — natural experiments, IV, DID, RDD. Stress-tests the design; for asset-pricing tests use jf-empirical-design.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jf-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.
# Causal Identification (jf-identification) ## When to trigger - The paper makes a causal claim ("X causes Y") resting on a research design - You rely on an instrument, a shock, a discontinuity, or a diff-in-diff and a referee will attack the exclusion/parallel-trends assumption - Endogeneity (reverse causality, omitted variables, selection) threatens the headline result > Scope: corporate / empirical causal effects. For cross-sectional asset-pricing tests use `jf-empirical-design`. ## JF's bar for identification JF is the AFA flagship, general-interest, with a ~5% acceptance rate and ~33–45% desk rejection (afajof.org editor reports, accessed 2026-05-30). For a corporate/empirical paper, **credible identification is usually the binding constraint** — a clever question with a weak design is a classic JF desk reject. The design must convince a broad AFA readership, not just specialists. ## Design audit | Design | Core assumption to defend | Standard JF attack to pre-empt | |------------------------|-----------------------------------------------|------------------------------------------------| | Natural experiment | Shock is plausibly exogenous & well-timed | Anticipation; confound
- When to trigger
- JF's bar for identification
- Design audit
- Worked vignette — a staggered-regulation natural experiment
- Referee-pushback patterns and the JF-specific fix
- Calibration anchors for JF identification
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
What does the jf-identification skill do?
Use when the causal-identification strategy is the bottleneck for a corporate / empirical The Journal of Finance (JF) manuscript — natural experiments, IV, DID, RDD. Stress-tests the design; for asset-pricing tests use jf-empirical-design.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jf-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.