Hello all,
I am just wondering if there is an equivalent command to 'predict' for probit regressions?
Maarten Buis kindly gave an answer to a previous question I had here - http://www.statalist.org/forums/foru...argins-command
He gave me this code:
Obviously, margins gives you the prediction probabilities, however, I would like to go one step further and do what the predict command does for linear regression and that is insert the predicted probabilities into the dataset. Thanks!
I am just wondering if there is an equivalent command to 'predict' for probit regressions?
Maarten Buis kindly gave an answer to a previous question I had here - http://www.statalist.org/forums/foru...argins-command
He gave me this code:
Code:
// some data preparation sysuse nlsw88, clear
gen byte marst = !never_married + married
label variable marst "marital status" label define marst 0 "never married" ///
1 "divorced/widowed" ///
2 "married"
label value marst marst
gen byte ed = cond(grade < 12, 0, ///
cond(grade == 12, 1, ///
cond(grade < 16, 2, 3 ))) ///
if grade < .
label variable ed "education"
label define ed 0 "< highschool" ///
1 "highschool" ///
2 "some college" ///
3 "college"
label value ed ed
label define south 1 "south" ///
0 "non-south"
label value south south
// the model
probit union i.marst i.race i.south i.ed
// make the table margins i.marst#i.race#i.south#i.ed