Dear all,
I have been trying to get my head around a seemingly intuitive
problem, but I am puzzled that I don't really find relevant treatment
(nor implemented tools) in the literature. Perhaps I am missing the
obvious, but I would be grateful if you could comment on what this
problem looks like and how I could estimate it:
I want to allow different treatment effects by clusters, but only want
to allow two different treatment effects. (These could be: compliers
and non-compliers in the execution of the experiment.) This seems to a
simple, straightforward case of random-coefficient (also called
growth-curve) models within the larger class of multilevel models,
only restricting the distribution of the coefficients differently than
being random. However, after checking the -xtmixed- and -xtgee-
commands, or the treatment of -gllamm- in "Multilevel and Longitudinal
Modeling Using Stata" (2ed) from Stata Press, I have not found
anything useful.
I can also imagine that this problem is close to "latent class" models.
Any help will be highly appreciated.
Thank you,
Laszllo
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