imfer-identification
Use when the identification argument is the bottleneck for an IMF Economic Review (IMFER) manuscript — cross-country panel, high-frequency policy-surprise, crisis event study, narrative, or open-economy structural identification. Stress-tests the data-to-object mapping to IMFER's policy-relevant bar; it does not build the model (imfer-theory-model) or run the robustness suite (imfer-robustness).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imfer-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.
# Identification Strategy (imfer-identification) ## When to trigger - A cross-country causal claim rests on OLS-plus-controls or TWFE on staggered policy adoption - A high-frequency policy-surprise series (monetary, FX intervention) needs its exclusion defended - A crisis "event study" cannot separate the policy from the macro shock that triggered it - A capital-control or program effect is plausibly **endogenous to the crisis** it is meant to address - An open-economy model's parameters are estimated but it is unclear *what in the data* identifies them ## The IMFER identification bar IMFER referees read as both frontier econometricians and policy analysts, so the **mapping from data to the policy-relevant object** must be explicit *and* the object must be the one a policymaker cares about. International-macro data make this harder than a clean single-country RCT: small N of countries, endogenous policy adoption, global common shocks, and spillovers that violate SUTVA across borders. Name the variation, defend it against the macro confounder, and report inference that respects cross-country dependence. ### Branch A: Cross-country panel - Move beyond TWFE under staggered policy adop
- When to trigger
- The IMFER identification bar
- Branch A: Cross-country panel
- Branch B: High-frequency policy-surprise
- Branch C: Crisis event study / narrative
- Branch D: Open-economy structural / DSGE
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- The international-macro confounders to name explicitly
- Worked vignette (illustrative)
- Referee pushback mapped to the identification fix
- Output format
What does the imfer-identification skill do?
Use when the identification argument is the bottleneck for an IMF Economic Review (IMFER) manuscript — cross-country panel, high-frequency policy-surprise, crisis event study, narrative, or open-economy structural identification. Stress-tests the data-to-object mapping to IMFER's policy-relevant bar; it does not build the model (imfer-theory-model) or run the robustness suite (imfer-robustness).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imfer-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.