Re: st: Difference-in-differences analysis with binary data (repeated cross-sectional data)

[Armen Martirosyan <armen_martirosyan@wvi.org>]

Dear Maarten,

Thanks a lot for this, this is really useful

regards, armen
 
___________________________________
Armen Martirosyan
Health Research and M&E Associate 
Global Health and WASH
World Vision 
International                                                                              

tel:   +374 10 749 118, 749 119
cell: + 374 96  36 81 89 
fax:  +374 10  749 148
skype: armen_mol
armen_martirosyan@wvi.org 
 
 



From:   Maarten Buis <maartenlbuis@gmail.com>
To:     statalist@hsphsun2.harvard.edu, 
Date:   05/27/2012 08:47 PM
Subject:        Re: st: Difference-in-differences analysis with binary 
data (repeated cross-sectional data)
Sent by:        owner-statalist@hsphsun2.harvard.edu



On Thu, May 24, 2012 at 8:48 PM, Armen Martirosyan wrote:
> Thank you very much for your support. Regarding interpretation of 
results
> - how results should be interpreted if i get coefficient as a result of
> linear regression since for outcome binary data i am interested in
> proportions.

The mean of a binary variable (coded 0, 1) is the proportion of 1s, so
you don't need to anything special after a linear probability model to
get the interpretation in terms of differences in
probabilities/proportions. This is the whole point of using linear
probability models.

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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