This skill covers formal identification arguments and proofs in structural and reduced-form econometrics. Use when the user needs to prove or formalize that a parameter is identified — including writing identification propositions, stating regularity conditions, deriving rank conditions, or showing observational equivalence fails. Triggers on "identification proof", "identification argument", "identify the parameter", "show identification", "identification condition", "exclusion restriction proof", "rank condition", "order condition", "identification strategy formal", "nonparametric identification", "parametric identification", "local identification", "global identification", "observational equivalence", "identification at infinity", "completeness condition", "regularity conditions", "Rothenberg", "proof of identification", "identification result", "identified parameter", "point identified", "set identified", "partial identification".
$npx -y skills add james-traina/compound-science --skill identification-proofsInstalls into the current project.
Run `npx skills use "https://github.com/james-traina/compound-science" --skill "james-traina/compound-science/identification-proofs"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/james-traina/compound-science" that are relevant to the current task. Run `npx skills add "https://github.com/james-traina/compound-science"` and select the relevant skills, then follow their instructions.