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Compute age‑varying marginal effects after a logistic regression in Stata, verify with manual calculation or bootstrap, and watch for speed and SE limitations.
Logit coefficients don't answer real questions. Stata's margins command turns them into adjusted predictions and average marginal effects — here's how to use it, and where it can mislead.
Step‑by‑step guide to fit a logistic model in Stata, compute average marginal effects with margins, save them to a dataset, and export to Excel.
Learn how to use Stata's margins command to transform complex nonlinear coefficients into interpretable probability changes using Average Marginal Effects (AME).
Learn how Stata’s margins command computes adjusted predictions and marginal effects after regression, with a concrete example using the auto dataset and guidance on limitations and verification.
stata