Hi everyone,
I am trying to run two Tobit regressions with correlated error terms. I should use "full information maximum likelihood" estimation for solving endogeneity problem. How can I do that?
As I know "gsem" use for Tobit family but couldn't calculate correlation between error terms. On the other hand, in gsem couldn't use FIML. And sem estimation couldn't use for Tobit model. How can I solve this problem?
Thanks.
I am trying to run two Tobit regressions with correlated error terms. I should use "full information maximum likelihood" estimation for solving endogeneity problem. How can I do that?
As I know "gsem" use for Tobit family but couldn't calculate correlation between error terms. On the other hand, in gsem couldn't use FIML. And sem estimation couldn't use for Tobit model. How can I solve this problem?
Thanks.
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