use https://www3.nd.edu/~rwilliam/statafiles/cruz, clear

* 1A
* Approach 1 - Generate dummies yourself
tab ses, gen(ses)
logit cruz male socialcons fiscalcons ses2 ses3 , nolog

* Approach 2 - Let xi: generate the dummies
xi: logit cruz i.male i.socialcons fiscalcons i.ses, nolog

* Approach 3 - Yet another approach that somebody insists on trying
logit cruz i.male i.socialcons fiscalcons i.ses , nolog

* 1B
* Possible margins & marginsplot commands.
use https://www3.nd.edu/~rwilliam/statafiles/cruz, clear
logit cruz i.male i.socialcons fiscalcons i.ses , nolog
margins, at(fiscalcons = (-12(3)12))
marginsplot, noci name(g1)
margins fiscalcons

* 1C
* 1. Basic margins commands
use https://www3.nd.edu/~rwilliam/statafiles/cruz, clear
logit cruz i.male i.socialcons fiscalcons i.ses , nolog
margins male socialcons ses
margins, dydx(*)

* 2. Adjusted predictions for male social conservative fiscal moderates
* at different SES levels
use https://www3.nd.edu/~rwilliam/statafiles/cruz, clear
logit cruz i.male i.socialcons fiscalcons i.ses , nolog
quietly mtable, at(male=1 socialcons=1 ses=1 fiscalcons=0) rowname(Low SES) 
quietly mtable, at(male=1 socialcons=1 ses=2 fiscalcons=0) below rowname(Med SES) 
mtable, at(male=1 socialcons=1 ses=3 fiscalcons=0) below rowname(High SES) 

* 3. Examine effects of fiscalcons both by itself and with gender
use https://www3.nd.edu/~rwilliam/statafiles/cruz, clear
logit cruz i.male i.socialcons fiscalcons i.ses , nolog
mcp fiscalcons, var1(20) plotopts(name(g2, replace))
mcp fiscalcons male, var1(20) plotopts(name(g3, replace))