Hello everyone!
I am currently working with a time series panel data set measuring six
dependent variables:
4 of which are binary and 2 of which are count data.
I am interested in constructing a model to measure if the dependent variables
influence one another.
For example: DV1~ DV2 + IV1+IV2+ Controls and DV2~ DV1 + IV1+ IV2+ Controls
(where IV stands for independent variable, not instrumental).
My current code looks like:
glm(DV1~ IV1+ Control1+ Control2+ DV4+ DV5+ DV6, family="binomial", data= data)
which I repeat for each of the 6 DVs.
I realize that I need to run a series of simultaneous equation models, but I am
not having much luck figuring out how to run an SEM with binary data in R. The
zelig package used to have a bivariate logit command, but zelig does not work
with the most current version of R. Additionally, I would run into issues later
on using that command since 2 of my variables are not binary.
Any ideas? Thanks for your help!
Casey
---
Ph.D student, Political Science
University of Chicago
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