Dear All,
i am still struggling with marginsplot to portray my interaction Terms. I am running the following codes:
// run the regression model xtgls builtlastyear rprov existingboats c.c_rprov##c.c_existingboats standalone GDPgrowth2 leisure olympic texist i.year, panel(hetero) // get plausible/interesting values to plot summarize rprov existingboats margins, dydx(rprov) at(existingboats=(30(5)75)) vsquish // get the adjusted predictions margins, at(rprov=(1 2) existingboats=(30(5)70)) vsquish // plot the predictions marginsplot, noci x(rprov) recast(line) xlabel(30(5)75) But I do get such an Output: Delta-method
dy/dx Std. Err. z P>z [95% Conf. Interval]
rprov
_at
1 . (not estimable)
2 . (not estimable)
3 . (not estimable)
4 . (not estimable)
5 . (not estimable)
6 . (not estimable)
7 . (not estimable)
8 . (not estimable)
9 . (not estimable)
10 . (not estimable)
What does that mean?What am I doing wrong?
Any help would be greatly appreciated!!
i am still struggling with marginsplot to portray my interaction Terms. I am running the following codes:
// run the regression model xtgls builtlastyear rprov existingboats c.c_rprov##c.c_existingboats standalone GDPgrowth2 leisure olympic texist i.year, panel(hetero) // get plausible/interesting values to plot summarize rprov existingboats margins, dydx(rprov) at(existingboats=(30(5)75)) vsquish // get the adjusted predictions margins, at(rprov=(1 2) existingboats=(30(5)70)) vsquish // plot the predictions marginsplot, noci x(rprov) recast(line) xlabel(30(5)75) But I do get such an Output: Delta-method
dy/dx Std. Err. z P>z [95% Conf. Interval]
rprov
_at
1 . (not estimable)
2 . (not estimable)
3 . (not estimable)
4 . (not estimable)
5 . (not estimable)
6 . (not estimable)
7 . (not estimable)
8 . (not estimable)
9 . (not estimable)
10 . (not estimable)
What does that mean?What am I doing wrong?
Any help would be greatly appreciated!!
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