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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.

Journal-of-Health-Economics-Skills/skills/jhe-identification/SKILL.md

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# 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 that could have failed, and keep the claim inside what the design supports. Inference clusters at the policy/assignment level (usually state).
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