I run below regression
Dependet Variable Default, income is a category variable with 7 levels. Incomeverified is a dummy variable.
logit default i.incomeverified##ib4.income2 age gender
And then I run margins code and have below results
margins incomeverified#ib4.income2
Can someone tell me how to explain the marginal effect results? Eg: what does .0434022 and .0846561 for income group 4 mean?
Delta-method
Margin Std. Err. z P>z [95% Conf. Interval]
incomeverified#income2
0 1 .0196078 .0194147 1.01 0.313 -.0184442 .0576599
0 2 .038961 .0110258 3.53 0.000 .0173509 .0605712
0 3 .0316196 .0027186 11.63 0.000 .0262913 .0369479
0 4 .0434022 .0038121 11.39 0.000 .0359306 .0508738
0 5 .0328048 .004165 7.88 0.000 .0246415 .0409681
0 6 .0628898 .0055346 11.36 0.000 .0520423 .0737373
0 7 .0706161 .0055771 12.66 0.000 .0596852 .081547
1 1 . (not estimable)
1 2 .25 .2165064 1.15 0.248 -.1743446 .6743447
1 3 .0965732 .0164863 5.86 0.000 .0642607 .1288857
1 4 .0846561 .0143178 5.91 0.000 .0565938 .1127184
1 5 .0217391 .0107508 2.02 0.043 .000668 .0428102
1 6 .0208333 .0103076 2.02 0.043 .0006308 .0410358
1 7 .0149254 .0074068 2.02 0.044 .0004083 .0294424
Dependet Variable Default, income is a category variable with 7 levels. Incomeverified is a dummy variable.
logit default i.incomeverified##ib4.income2 age gender
And then I run margins code and have below results
margins incomeverified#ib4.income2
Can someone tell me how to explain the marginal effect results? Eg: what does .0434022 and .0846561 for income group 4 mean?
Delta-method
Margin Std. Err. z P>z [95% Conf. Interval]
incomeverified#income2
0 1 .0196078 .0194147 1.01 0.313 -.0184442 .0576599
0 2 .038961 .0110258 3.53 0.000 .0173509 .0605712
0 3 .0316196 .0027186 11.63 0.000 .0262913 .0369479
0 4 .0434022 .0038121 11.39 0.000 .0359306 .0508738
0 5 .0328048 .004165 7.88 0.000 .0246415 .0409681
0 6 .0628898 .0055346 11.36 0.000 .0520423 .0737373
0 7 .0706161 .0055771 12.66 0.000 .0596852 .081547
1 1 . (not estimable)
1 2 .25 .2165064 1.15 0.248 -.1743446 .6743447
1 3 .0965732 .0164863 5.86 0.000 .0642607 .1288857
1 4 .0846561 .0143178 5.91 0.000 .0565938 .1127184
1 5 .0217391 .0107508 2.02 0.043 .000668 .0428102
1 6 .0208333 .0103076 2.02 0.043 .0006308 .0410358
1 7 .0149254 .0074068 2.02 0.044 .0004083 .0294424
