Hi,
I have been estimating latent growth models using -xtmixed- with a
continuous income measure as the dependent variable and long-term
family status (14 categories) as an independent variable. However, I
am wanting to estimate simultaneous models for two separate groups -
those poor at time=0 and those not poor at time=0. Is this possible
using xtmixed? I appreciate that I could simply include 'poor' as a
covariate or estimate two separate models but I want to obtain a
robust multiple groups analysis with parameters estimated separately
for each group rather than uniformly modified by group.
My syntax (with simplified variable names) for the non-groups model is:
xtmixed income familytype2-familytype14
familytype2BYtime-familytype14BYtime time ///
|| id: time, cov(un) var mle
I'd be grateful if anyone could show me how to do the syntax for a
grouped model.
--
John Holmes
Research Associate
Institute for Social Change
University of Manchester
4th Floor Arthur Lewis Building
Oxford Road
Manchester
M13 9PL
Email: [email protected]
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