Hi,
I am trying to get average marginal effect after xtmlogit.
Here is the example of using -estatus-.
Why do I get different results for hhincome?
The way I understand is that the two commands should give the same results for hhincome, and the second command is a shorthand for getting marginal effects of multiple variables. Do I miss anything?
I am trying to get average marginal effect after xtmlogit.
Here is the example of using -estatus-.
Code:
webuse estatus xtset id year xtmlogit estatus i.hhchild##(c.hhincome l2.c.hhincome) margins hhchild, dydx(hhincome) ---------------------------------------------------------------------------------- | Delta-method | dy/dx std. err. z P>|z| [95% conf. interval] -----------------+---------------------------------------------------------------- hhincome | _predict#hhchild | 1#No | .0003457 .0004927 0.70 0.483 -.00062 .0013113 1#Yes | .0005054 .0004882 1.04 0.301 -.0004514 .0014622 2#No | -.0031088 .0004538 -6.85 0.000 -.0039983 -.0022194 2#Yes | -.0032074 .0003835 -8.36 0.000 -.003959 -.0024558 3#No | .0027631 .0005181 5.33 0.000 .0017477 .0037786 3#Yes | .002702 .0004685 5.77 0.000 .0017838 .0036202 ---------------------------------------------------------------------------------- margins hhchild, dydx(hhincome L2.hhincome) ---------------------------------------------------------------------------------- | Delta-method | dy/dx std. err. z P>|z| [95% conf. interval] -----------------+---------------------------------------------------------------- hhincome | _predict#hhchild | 1#No | .0005094 .0027027 0.19 0.851 -.0047878 .0058066 1#Yes | -.0001652 .0024298 -0.07 0.946 -.0049275 .0045971 2#No | -.0021406 .0021466 -1.00 0.319 -.0063479 .0020666 2#Yes | -.0020974 .0017222 -1.22 0.223 -.0054729 .001278 3#No | .0016312 .0029516 0.55 0.580 -.0041539 .0074164 3#Yes | .0022626 .0025153 0.90 0.368 -.0026674 .0071926 -----------------+---------------------------------------------------------------- L2.hhincome | _predict#hhchild | 1#No | -.0001637 .0027309 -0.06 0.952 -.0055161 .0051887 1#Yes | .0006706 .0024668 0.27 0.786 -.0041643 .0055055 2#No | -.0009682 .0021789 -0.44 0.657 -.0052387 .0033023 2#Yes | -.00111 .0017582 -0.63 0.528 -.004556 .002336 3#No | .0011319 .0029834 0.38 0.704 -.0047154 .0069792 3#Yes | .0004394 .0025543 0.17 0.863 -.0045669 .0054458 ----------------------------------------------------------------------------------
The way I understand is that the two commands should give the same results for hhincome, and the second command is a shorthand for getting marginal effects of multiple variables. Do I miss anything?