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st: re:linear regression with robust variance estimation
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Ali said
I have a small data set of 136 infants each 2 of them have the same
mother. All mothers have a disease which I am at its effect on
birthweight. These women were diagnosed and treated after giving birth
for the first child. I am trying to measure the difference in mean
birthweight between infants who were born before treatment and those
who were born after treatment. At the same time I want to account for
parity (3 categories 1, 2 or 3) and gestational age (4 categories).
I am using regress with robust option to account for the fact that the
data is not independent. Is there a way to include the mothers
personal number in the model? Or does robust take into this problem
into account?
The model I used is x: regress birthweight i.disease i.parity
i.gestationalage, robust
why not cluster(motherid) ? That subsumes robust and allows for error
correlation among children of the same mother.
Kit Baum, Boston College Economics and DIW Berlin
http://ideas.repec.org/e/pba1.html
An Introduction to Modern Econometrics Using Stata:
http://www.stata-press.com/books/imeus.html
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