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Re: st: gologit2
From
Richard Williams <[email protected]>
To
[email protected], [email protected]
Subject
Re: st: gologit2
Date
Thu, 29 Aug 2013 14:37:24 -0500
At 12:53 PM 8/29/2013, lan zhang wrote:
i count the last five years' M&A occurrence happened domestically in
US , the last five years' M&A occurrence happened across-border
which is initiated by US. these two have really high correlation.
is it ok if i still want to use the gologit2 to see their different
effects on my dependent variable?
Sorry, I don't know what M&A is or what the rest of your explanation
means. In any event, I don't think there is anything special about
the fact that you are using gologit2. If the variables were
appropriate/inappropriate for an mlogit/ regression/ ologit analysis
I imagine the same would be true for gologit. In any event why not
just try it and see if it works and if the results make sense?
On Aug 28, 2013, at 11:37 PM, Richard Williams
<[email protected]> wrote:
> Multi-equation methods like mlogit and gologit can estimate a lot
of parameters, hence things like extreme collinearity may cause
more grief for them than they do for simpler methods. Having said
that, multicollinearity is not inherently fatal; you might have
problems with a small data set and no problems at all if you have
100,000 cases.
>
> I agree with Maarten that you should examine why the multic
exists. Maybe you have done something stupid, like include a scale
along with the items used to compute the scale. Conversely, if you
have a bunch of items that all measure the same concept, you may be
able to create a single scale out of them that solves your problems.
>
> For more ideas on causes/consequences/possible ways of dealing
with multicollinearity, see
>
> http://www3.nd.edu/~rwilliam/xsoc63993/l11.pdf
>
> At 08:51 AM 8/28/2013, lan zhang wrote:
>> Good morning!
>> i want to conduct a gologit2 model, however, the correlations
between my independent variables are very high, almost 0.9. Is it
still possible for me to use the gologit2 model?
>>
>> thanks
>> lan
>>
>> *
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>> * http://www.ats.ucla.edu/stat/stata/
>
> -------------------------------------------
> Richard Williams, Notre Dame Dept of Sociology
> OFFICE: (574)631-6668, (574)631-6463
> HOME: (574)289-5227
> EMAIL: [email protected]
> WWW: http://www.nd.edu/~rwilliam
>
> *
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*
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-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME: (574)289-5227
EMAIL: [email protected]
WWW: http://www.nd.edu/~rwilliam
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/