This question does not involve SAS, but it involves JMP, which is made
by SAS and many SAS people are familiar with JMP (well, I hope so :)).
Does anyone know why I am obtaining parameter estimates and SE for a
logistic regression that are exactly twice as high in Stata than in JMP?
Values for the overall models (LR and p-values) are identical. I haven't
found any details to shed light on how these are calculated in the two