Stas et al---
I agree strongly with you and other posters that -tobit- is
inappropriate and some of the concern about skew may be exaggerated,
but what about endogeneity? I think many people would regress SES
(some measure of socioeconomic status) on BMI (some measure of
obesity)...
On Wed, Aug 13, 2008 at 10:30 AM, Stas Kolenikov <[email protected]> wrote:
> On 8/12/08, Kieran McCaul <[email protected]> wrote:
>> Since BMI is weight divided by height squared, why not regress weight on
>> SES while adjusting for height squared?
>
> BMI is a measure of interest per se, and I would probably more likely
> be interested how a particular behavior affects BMI rather than how it
> affects weight -- that's the interpretation of the regression
> coefficient if weight is used as the dependent variable. At any rate,
> if anything, weight is going to be even more skewed than BMI, so the
> original problem of controling for non-normality is even more
> accentuated.
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