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st: RE: Re: Making Cohorts


From   ajjee <ajjee1@yahoo.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: RE: Re: Making Cohorts
Date   Fri, 29 Oct 2010 11:08:14 -0700 (PDT)

Hi 

I've deleted my post with attachment. Sorry for inconvenience. I think you
should disable the upload a file link.

Cheers



Lachenbruch, Peter wrote:
> 
> Have you not been reading the responses to your emails???  NO ATTACHMENTS.  
> All this is doing is cluttering our inboxes!
> 
> Tony
> 
> Peter A. Lachenbruch
> Department of Public Health
> Oregon State University
> Corvallis, OR 97330
> Phone: 541-737-3832
> FAX: 541-737-4001
> 
> 
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of ajjee
> Sent: Friday, October 29, 2010 4:52 AM
> To: statalist@hsphsun2.harvard.edu
> Subject: st: Re: Making Cohorts
> 
> http://statalist.1588530.n2.nabble.com/file/n5686173/attitudes.dta
> attitudes.dta 
> 
> Dear Maarten
> Thanks for you replies. I'm attching my data file with some variables. My
> dependent variable is Y and independent variables sex I.age I.edur I.pol
> I.inc.
> 
> When I give xtset country year.....it gives the error of repeated values.
> I
> hope now it will be esay to understand my problem.
> 
> Thanks in advance.
> 
> Ajjee
> 
> 
> Maarten buis wrote:
>> 
>> --- On Fri, 29/10/10, ajjee wrote:
>>> "Suppose that yit is a 0-1 variable indicating whether a
>>> household has access to a telephone or not, and that this
>>> indicator variable is a linear function of explanatory
>>> variables. We acknowledge this being an unusual assumption
>>> as in reality it is not possible for a 0-1 indicator to be a
>>> linear function of variables, since the linear function can
>>> take any value whereas the indicator is binary. However, the
>>> estimation procedure which we have adopted involves subsequent
>>> aggregation of the individual data. We removed yit to be
>>> linear in the explanatory variables in order for the
>>> aggregation to give a relation between the share of 1's
>>> and the average of the explanatory variables."
>>> 
>>> Thats why I wrote a linear function and asked for how to
>>> make a cohort data according to that. 
>> 
>> The average of a dummy variable is a proportion, which is
>> still bounded between 0 and 1 (inclusive). So the averaging
>> does not solve the problem of boundedness of your dependent
>> variable.
>> 
>> If I understand you correctly, you go through this excercise
>> because you don't have real panel data. You can use -xtlogit- 
>> or -xtmelogit- for your data. The higher level unit is than 
>> country not individual, which seems to be what your technique 
>> usuccessfuly tries to do as well.
>> 
>> Hope this helps,
>> Maarten
>> 
>> --------------------------
>> Maarten L. Buis
>> Institut fuer Soziologie
>> Universitaet Tuebingen
>> Wilhelmstrasse 36
>> 72074 Tuebingen
>> Germany
>> 
>> http://www.maartenbuis.nl
>> --------------------------
>> 
>> 
>> 
>> 
>> 
>>       
>> 
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>> 
>> 
> 
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