Dear All,
I have the following (not yet completed) code:
Suppose I run the following estimation:
Then I use the command in the code above:
How can I get the two results after ame in only one table like the following:
Unfortunately I cannot figure out this by myself.
Thanks a lot for your tips.
Best
Dario
I have the following (not yet completed) code:
Code:
capture program drop ame program define ame, eclass version 14 syntax varlist(numeric), [Mixed(varlist min=1 max=2)] tempvar var tempvar p tempvar dpdxb tempvar dpdx tempvar d2pdxb2 tempvar N tempvar var_matrix tempvar V tempvar dm tempvar cn tempvar AME matrix `var_matrix'=e(V) local `var' "`varlist'" local N=e(N) local m 0 qui predict `p', pr qui gen `dpdxb' = `p'*(1-`p') *local `ame'_`v'=r(mean) qui gen `d2pdxb2'= `p'*(1-`p')*(1-`p') - `p'*`p'*(1-`p') foreach v of local `var'{ if "`mixed'"==""{ qui gen `dpdx'_`v' = `dpdxb'*_b[`v'] qui sum `dpdx'_`v' local abc=r(mean) matrix vecaccum Jac_`v' = `d2pdxb2' `varlist' matrix Jac_`v' = Jac_`v'*_b[`v']/`N' local ++m local `m': colnumb(Jac_`v', "`v'") local cn "`m'" qui sum `dpdxb' matrix Jac_`v'[1,`cn'] = Jac_`v'[1,`cn'] + r(mean) matrix `V'_`v' = Jac_`v'*`var_matrix'*Jac_`v'' local dm_`v'=sqrt(`V'_`v'[1,1]) di di di "Average marginal effects" di as text _dup(50) "-" di as text " `v' = " in result %9.4f `abc' di as text " SE_`v' = " in result %9.4f `dm_`v'' di as text _dup(50) "-" } end
Code:
webuse bangladesh.dta, clear logit c_use age urban margins, dydx(age urban) Average marginal effects Number of obs = 1,934 Model VCE: OIM Expression: Pr(c_use), predict() dy/dx wrt: age urban ------------------------------------------------------------------------------ | Delta-method | dy/dx std. err. z P>|z| [95% conf. interval] -------------+---------------------------------------------------------------- age | .0017164 .0012116 1.42 0.157 -.0006583 .004091 urban | .1675704 .0224137 7.48 0.000 .1236403 .2115006 ------------------------------------------------------------------------------
Code:
ame age urban Average marginal effects -------------------------------------------------- age = 0.0017 SE_age = 0.0012 -------------------------------------------------- Average marginal effects -------------------------------------------------- urban = 0.1676 SE_urban = 0.0224 --------------------------------------------------
Code:
Average marginal effects ----------------------------------------------- Coeff SE age 0,0017 0.0012 urban 0.1676 0.0224 ------------------------------------------------
Thanks a lot for your tips.
Best
Dario