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# Re: RE: st: Fwd: exponential regression in stata

 From "Bastian Steingros" <[email protected]> To [email protected] Subject Re: RE: st: Fwd: exponential regression in stata Date Wed, 19 Jan 2011 17:54:27 +0100

```dear nick, i had a word with markus about your answers. we will need some time to summarize our assumptions. thanks
-------- Original-Nachricht --------
> Datum: Wed, 19 Jan 2011 15:59:29 +0000
> Von: Nick Cox <[email protected]>
> An: "\'[email protected]\'" <[email protected]>
> Betreff: RE: st: Fwd: exponential regression in stata

> By the way, I naturally agree with Al Feiveson's point that these methods
> carry different assumptions about error structure. They are not identical
> alternatives. I take it as read that choosing any technique implies a
> commitment to consider its assumptions.
>
> Nick
> [email protected]
>
> Nick Cox
>
> "ln y vs x" and "ln on both sides" are exactly the same proposal as
> ln(exp(x)) is nothing but x.
>
> I meant most assumptions about functional form.
>
> Bastian Steingros (a.k.a. Markus)
>
> Dear Nick,
> thanks for the comment.
> distribution?
> to the classical method: you recommend ln(y) on x. Justina recommend ln on
> both sides. To obtain the e function, I should use your approach right?
>
> > Von: Nick Cox <[email protected]>
>
> > There are several ways to do this and differing opinions on their
> > relative merits. The classical method is a regression of ln y on x.
> > But I'd try -glm, link(log)- instead. There might be reasons to use
> > -nl- instead, but -nl- can be awkward.
> >
> > There are lots of ways to extend the model you mention to three
> > predictors, but without any details helpful comment is difficult.
>
> > On Wed, Jan 19, 2011 at 9:38 AM, Bastian Steingros <[email protected]>
> > wrote:
> >
> > > I want to run a exp. regression in stata. But I have not found any
> > instructions in the help options. do you have any ideas what to enter in
> stata
> > to obtain such a regression model?
> > >
> > > I mean by exp. function something like : y=0,343 * e^(22,33*x)
> > >
> > > [my data set has 1 dep. var. and 3 indep. var.'s --> is such a model
> > also possible for 3 x-var's?]
>
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