jhe-identification
Use when the identification argument is the bottleneck for a Journal of Health Economics (JHE) manuscript — quasi-experimental health-policy variation, selection into insurance/treatment, eligibility RD, or structural identification of demand/provider parameters. Stress-tests the data-to-estimand mapping to the JHE bar before exhibits are finalized; it does not write prose or build the package.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jhe-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 (jhe-identification) ## When to trigger - A causal health-policy claim rests on OLS + controls or TWFE on staggered state adoptions - An insurance/treatment effect is contaminated by selection that is not modeled - An eligibility cutoff (income, age-65 Medicare, kink in subsidy schedule) is used without an RD defense - A structural insurance-demand or provider-response parameter is estimated but it is unclear what identifies it - You are unsure the design clears JHE's credible-causal-plus-institutional bar ## The JHE identification bar JHE referees demand **credible causal identification *and* institutional realism**: the mapping from a source of variation to the health-economics estimand must be explicit, falsifiable, and consistent with how the program or market actually works. Two failure modes get punished hardest here: (1) ignoring **selection** — into insurance, into treatment, into the sample — that the health setting makes first-order; and (2) treating a **policy variation as exogenous** when institutional detail (phase-ins, waivers, simultaneous reforms, anticipation) says it is not. State the estimand, name the assumption, show the diagnostic tha
- When to trigger
- The JHE identification bar
- Design paths
- Path A: Quasi-experimental health-policy variation (DiD / event study)
- Path B: Selection into insurance / treatment
- Path C: Eligibility RD / kink
- Path D: IV / structural identification
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Worked vignette (illustrative)
- Referee pushback mapped to the identification fix
- A note on health-specific identification traps
- Output format
What does the jhe-identification skill do?
Use when the identification argument is the bottleneck for a Journal of Health Economics (JHE) manuscript — quasi-experimental health-policy variation, selection into insurance/treatment, eligibility RD, or structural identification of demand/provider parameters. Stress-tests the data-to-estimand mapping to the JHE bar before exhibits are finalized; it does not write prose or build the package.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jhe-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.