This may or may not be a Stata question. I am trying
to convert probit estimates to the following
interpretation: "A standard deviation increase in the
[independent variable] increases the [dependent
variable] by x% (or x standard deviations)."
The -listcoef- command is very useful but for
interpretation purposes, is only applicable to the
logit command (log odds). Does anyone know of a Stata
command, or just a way to modify probit results, to
fit this type of interpretation?
To follow up a bit on my previous answer: In binary probit, the error
term is assumed to be distributed normally with variance 1. In
binary logit, the error term is assumed to be distributed
logistically with variance (pi^2)/3 = roughly 3.29. For the most
part though, these distributions are very similar, differing mostly
by a scale factor (hence the widespread claim that it usually doesn't
matter that much whether you use logit or probit).