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st: RE: Re: Making Cohorts


From   "Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>
To   "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu>
Subject   st: RE: Re: Making Cohorts
Date   Fri, 29 Oct 2010 09:34:59 -0700

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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