// MI example 2
use spanking age educ income91 sex race marital region childs god using "C:\Users\User\Dropbox (FAMSIZEMATTERS)\methods and data\GSS1994.dta", clear
recode spanking (1 = 4) (2 = 3) (3 = 2) (4 = 1)
generate female = (sex == 2)
generate black = (race == 2)
recode income91 ( 1 = 500) ( 2 = 2000) ( 3 = 3500) ( 4 = 4500) ( 5 = 5500) ///
( 6 = 6500) ( 7 = 7500) ( 8 = 9000) ( 9 = 11250) (10 = 13750) ///
(11 = 16250) (12 = 18750) (13 = 21250) (14 = 23750) (15 = 27500) ///
(16 = 32500) (17 = 37500) (18 = 45000) (19 = 55000) (20 = 67500) ///
(21 = 75000), gen(income)
replace income = income / 1000
generate nochild = (childs == 0) if !missing(childs)
generate nodoubt = (god == 6) if !missing(god)
generate nevmar = (marital == 5) if !missing(marital)
generate divsep = inlist(marital, 3, 4) if !missing(marital)
generate widow = (marital == 2) if !missing(marital)
generate east = inlist(region, 1, 2)
generate midwest = inlist(region, 3, 4)
generate south = inlist(region, 5, 6, 7)
misschk spanking female black income educ nodoubt nochild age east midwest south nevmar divsep widow
eststo clear
eststo: ologit spanking female black income educ nodoubt nochild age east midwest south nevmar divsep widow
drop if missing(marital)
preserve
recode educ (.d .n = .)
recode spanking (.d .i .n = .)
mi set mlong
mi register imputed spanking female black income educ nodoubt nochild age east midwest south nevmar divsep widow
mi impute mvn spanking female black income educ nodoubt nochild age east midwest south nevmar divsep widow, ///
add(5) burnin(500) burnbetween(200) emlog emoutput
foreach x of varlist female black nodoubt nochild east midwest south nevmar divsep widow {
replace `x' = 0 if `x' < .5 & _mi_m != 0
replace `x' = 1 if `x' >= .5 & _mi_m != 0
}
replace spanking = 1 if spanking < 1.5 & _mi_m != 0
replace spanking = 2 if spanking >= 1.5 & spanking < 2.5 & _mi_m != 0
replace spanking = 3 if spanking >= 2.5 & spanking < 3.5 & _mi_m != 0
replace spanking = 4 if spanking >= 3.5 & _mi_m != 0
eststo: mi estimate, post: ologit spanking female black income educ nodoubt nochild age east midwest south nevmar divsep widow
restore
preserve
recode educ (.d .n = .)
recode spanking (.d .i .n = .)
mi set mlong
mi register imputed spanking female black income educ nodoubt nochild age east midwest south nevmar divsep widow
mi impute chained (mlogit) spanking (regress) income educ (logit) nodoubt nochild = female black age east midwest south nevmar divsep widow, ///
add(5) burnin(20) force
eststo: mi estimate, post: ologit spanking female black income educ nodoubt nochild age east midwest south nevmar divsep widow
restore
preserve
mi set mlong
mi register imputed spanking female black income educ nodoubt nochild age east midwest south nevmar divsep widow
drop if missing(spanking)
mi impute chained (mlogit) spanking (regress) income educ (logit) nodoubt nochild = female black age east midwest south nevmar divsep widow, ///
add(5) burnin(20) force
eststo: mi estimate, post: ologit spanking female black income educ nodoubt nochild age east midwest south nevmar divsep widow
restore
esttab, wide se keep(spanking:) nonumbers modelwidth(15) ///
mtitle("Listwise deletion" "Normal data augmentation" "Sequential regression" "Seq. regression w/out missings") ///
title(Coefficient estimates and standatd errors for cumulative logit models predicting SPANKING)
Feb 14, 2018
Handling missing values in Stata
This allows replicating the analyses in Allison (2002, pp. 68-73).
Labels:
esttab,
General Social Survey,
mi impute,
mi register,
misschk,
Missing values,
ologit,
Textbooks