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Re: st: Difference-in-differences analysis with binary data (repeated cross-sectional data)
From
Armen Martirosyan <[email protected]>
To
[email protected]
Subject
Re: st: Difference-in-differences analysis with binary data (repeated cross-sectional data)
Date
Mon, 28 May 2012 20:24:42 +0400
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
[email protected]
From: Maarten Buis <[email protected]>
To: [email protected],
Date: 05/27/2012 08:47 PM
Subject: Re: st: Difference-in-differences analysis with binary
data (repeated cross-sectional data)
Sent by: [email protected]
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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