This skill covers structural econometric models. Use when the user is building, estimating, or debugging structural models — including BLP demand estimation, dynamic discrete choice, auction models, or any workflow involving moment conditions, nested fixed-point algorithms, or MPEC formulations. Triggers on "structural model", "moment conditions", "NFXP", "MPEC", "BLP", "random coefficients", "dynamic discrete choice", "CCP", "Rust model", "auction estimation", "GMM objective", "inner loop", "contraction mapping", or convergence/starting value problems in optimization-based estimation.
How to install structural-modeling?
james-traina/compound-science/structural-modeling
$npx -y skills add james-traina/compound-science --skill structural-modelingInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/james-traina/compound-science" --skill "james-traina/compound-science/structural-modeling"` 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.
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