Dear Yan
The core difference lies in the distribution of errors. In the logit
model, errors are assumed to follow the standard logistic distribution and
the errors of the probit model are assumed to follow the standard normal
distribution
Probit analysis will produce results similar logit regression. The choice
of probit versus logit regression depends largely on individual
preferences.
In�s
> Dear Statalist,
>
> I have couple of questions about the Probit model. My dependent variable
> is a 0/1 binary choice (1=invest in technology, 0=no investment) for
> user groups, independent variables are user groups' characteristics
> (around 20).
> 1) Which model is correct one: Probit or Logit? What is the STATA
> command for checking this?
> 2) I have small observations (total 170 observations, but valid obs. Is
> only around 60 for all independent variables), sometimes the regression
> does not report report "wald chi2" statistics. What is the reason for
> this?
> 3) I got a note after right after the regression, which says "8 failures
> and 7 successes completely determined", what does this means?
>
> Thank you very much.
>
> Yan Sun
> Int'l Food Policy Res. Institute
>
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