> Okay, thanks for your answers!
> On Fri, May 20, 2011 at 10:59 AM, Nick Cox <email@example.com> wrote:
>> Yes, but that doesn't mean that nothing can be done by way of thinking
>> about this.
>> Also, why this cultural assumption that every question of model
>> assessment and scrutiny is a testing question?
>> Why not calculate your residuals and then inspect for
>> heteroscedasticity and think about what it means?
>> On Fri, May 20, 2011 at 9:52 AM, Maarten Buis <firstname.lastname@example.org> wrote:
>> > On Fri, May 20, 2011 at 10:08 AM, Dieter Somers wrote:
>> >> I was also wondering whether there exists a general test that checks
>> >> for heteroscedasticity in a conditional logit model (for instance a
>> >> command similar to the 'hettest') ?
>> > Heteroskedasticity is a much biger problem and much harder to check in
>> > non-linear models than in linear regression, so I think that no such
>> > test exists or even can exist. At some point you have to live with the
>> > fact that your model contains assumptions that cannot be tested. For
>> > more on this, see:
>> > http://www.stata.com/statalist/archive/2010-11/msg00996.html
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