Here's my problem: Because I'm running a
multinomial logit with lots of categories, I use
prchange and mlogplot from Spost. This works fine
except when I use interactive independent variables.
If I have independent variables A, B, and AxB, then
mlogplot would only calculate, I think, the value of a
A when B is zero. This is useless, as you can
imagine.
I have a do file that calculates the coefficients
for the two interacted variables for any value of the
other variable. In the example that follows, A is Var
1 and B is Var2 and Lula and Serra are two categories
of the dependent variable (actually there are many
more). First I run the mlogit command, in this case
with clustering on a variable called bairro1. then I
run the following do file.
do c:\temp\neigh;
neigh A B AxB Lula Serra;
capture program drop neigh
program define neigh
quietly summ `1'
local mean1=r(mean)
local sd1=r(Var)^.5
sort bairro1$which
egen tempneigh=mean(`2'), by (bairro1$which)
by bairro1$which: gen tempnumber=_n
quietly summ tempneigh if tempnumber==1
drop tempneigh tempnumber
local mean2=r(mean)
local sd2=r(Var)^.5
local var1="`1'"
local var2="`2'"
local var3="`3'"
while "`4'"~=""{
display
display
display "The following is the slope of `var1' for
`4'/base when `var2' is 1 standard deviations BELOW
its mean
lincom (`mean2'-1*`sd2')*[`4']`var3'+[`4']`var1'
display
display
mac shift
}
end
*******************************************************
So here the program is calculating, for the first
variable in the interaction, the coefficient and
standard errors for five different values of the other
interacted variable. What I need to do is to link
this to mlogplot so that I can show the impact of the
variable at various values of the other variable.
any ideas?
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