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RE: st: RE: St: predicted values in zinb regression
From
Nick Cox <[email protected]>
To
"'[email protected]'" <[email protected]>
Subject
RE: st: RE: St: predicted values in zinb regression
Date
Fri, 18 Mar 2011 18:24:50 +0000
Although the details of the models are important, the point is made clearer by contemplation of e.g.
sysuse auto
gen gpm = 1 / mpg
twoway scatter gpm weight || lfit gpm weight
or the results of
logit foreign weight
Nick
[email protected]
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of rachel grant
Sent: 18 March 2011 18:13
To: [email protected]
Subject: Re: st: RE: St: predicted values in zinb regression
> Thank you Nick
> That explains why the model also failed to predict the large peaks that I
> also had in the data, although in many cases the model approximated the
> peaks and troughs, they were definately smoothed out.
Rachel Grant
>
> On 18 March 2011 17:51, Nick Cox <[email protected]> wrote:
>>
>> Not surprising at all. Every model bar a perfect model is likely to fail
>> to predict the extreme values observed of the response variable, as the
>> predicted response is a kind of smoothing or averaging. The question is more
>> do you want to regard rounded predictions as, practically, predictions of
>> zero (or other results).
>>
>> Nick
>> [email protected]
>>
>> rachel grant
>>
>> I have used the command predict n to generate a set of predicted Y
>> values after running zinb regression. I have my predicted values but
>> there are no zeros in the predicted values at all, although in most
>> cases the predicted value was very small where a zero should be e.g.
>> 0.35. Is this OK or have I done something wrong? As I had two highly
>> significant predictors of zeros in the model I was expecting zeros in
>> the predicted values.
>>
>> *
>> * For searches and help try:
>> * http://www.stata.com/help.cgi?search
>> * http://www.stata.com/support/statalist/faq
>> * http://www.ats.ucla.edu/stat/stata/
>
>
>
> --
> regards, Rachel
>
>
--
regards, Rachel
*
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*
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* http://www.ats.ucla.edu/stat/stata/