[R] Simultaneous Equation Model with Dichotomous Dependent Variables

stephen sefick @@e||ck @end|ng |rom gm@||@com
Mon Oct 5 13:21:57 CEST 2020

Casey, I have used laavan for sem in the past.

Stephen Sefick, PhD

On Mon, Oct 5, 2020, 02:12 Casey Mallon <cemallon using uchicago.edu> wrote:

> 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
>         [[alternative HTML version deleted]]
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

	[[alternative HTML version deleted]]

More information about the R-help mailing list