I am running a random effects probit model with robust standard errors using the below code
My problem is that when i try to get the average marginal effects using
I get very tiny numbers (between 6.07e-14 and 6.88e-08) that cannot be right as I get much higher marginal effects when i run the pooled probit model
followed by
as well as when I introduce dynamics (by including the lag of my dependent variable into my regression). Any insight as to what I am doing wrong here will be greatly appreciated
In the attached file I paste the table with the random effects regression results, the output from the marginal effects when I use
and the output when I use
Code:
xtprobit depvar indepvar, vce(cluster id)
Code:
margins, predict(pu0) dydx(*)
Code:
probit depvar indepvar
Code:
margins, dydx(*)
In the attached file I paste the table with the random effects regression results, the output from the marginal effects when I use
Code:
margins, predict(pu0) dydx(*)
Code:
margins, dydx(*)
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