Nick,
Thanks, that worked. I should say, though, that I have several
variables with missing values and I tried ice with all of them and it
didn't work, so then I tried with just one.
See, this is what happens:
. /*MICE to impute missing values*/
. use uphvar02, clear
. ice incdisCh incdisCity indy02 workhrs happy r_health edyrs ln_pcy02
ln_avcityy city province male di
> vorced widowed finassets hhdebt using uricevar02, eq(incdisCh: indy02 ln_pcy02 ln_avcityy city provin
> ce finassets hhdebt, incdisCity: indy02 ln_pcy02 ln_avcityy city province finassets hhdebt, happy: ln
> _pcy02 r_health male divorced widowed) genmiss(M1) id(flag1) replace
Variable | Command | Prediction equation
-------------+-------------+--------------------------------------------------
incdisCh | mlogit | indy02 ln_pcy02 ln_avcityy city province
| | finassets hhdebt
incdisCity | mlogit | indy02 ln_pcy02 ln_avcityy city province
| | finassets hhdebt
indy02 | regress | incdisCh incdisCity workhrs happy r_health edyrs
| | ln_pcy02 ln_avcityy city province male divorced
| | widowed finassets hhdebt
workhrs | regress | incdisCh incdisCity indy02 happy r_health edyrs
| | ln_pcy02 ln_avcityy city province male divorced
| | widowed finassets hhdebt
happy | mlogit | ln_pcy02 r_health male divorced widowed
r_health | | [No missing data in estimation sample]
edyrs | | [No missing data in estimation sample]
ln_pcy02 | | [No missing data in estimation sample]
ln_avcityy | | [No missing data in estimation sample]
city | | [No missing data in estimation sample]
province | | [No missing data in estimation sample]
male | | [No missing data in estimation sample]
divorced | | [No missing data in estimation sample]
widowed | | [No missing data in estimation sample]
finassets | | [No missing data in estimation sample]
hhdebt | | [No missing data in estimation sample]
Imputing 1..file uricevar02.dta saved
. sort city province hhid
. compress
. save uricevar02, replace
file uricevar02.dta saved
.
.
end of do-file
. count if happy==.
65
Would you have any ideas about what's going wrong? I'd be very grateful.
Thanks so much,
Ramani
On 07/11/05, Nick Cox <[email protected]> wrote:
> I've not used -ice- myself: I just recommend it!
>
> However, a quick glance suggests that you
> are misunderstanding the syntax. It may be
> that what you want is something more like
>
> uvis regress happy ln_pcy02 r_health male divorced widowed,
> gen(HAPPY)
>
> Nick
> [email protected]
>
> Ramani Gunatilaka
>
> > I have been following up on all the useful comments I got and have
> > been working on that ice thing to replace missing values.
> > Unfortunately the programme goes through the motions but doesn't
> > replace any missing values. I am at my wit's end. The dependent
> > variable and the one that has missing values is happy (which takes the
> > values 1-5 depending on level of happiness (the data set as a whole
> > has 6805 observations), and my code runs like this.
> >
> > use uphvar02, clear
> >
> > . ice happy ln_pcy02 r_health male divorced widowed using uricevar02,
> > cmd(regress) eq(happy: ln_pcy02 r _health male divorced widowed)
> > genmiss(M1) id(flag1) replace
> >
> > This is my output:
> >
> > Variable | Command | Prediction equation
> > -------------+-------------+----------------------------------
> > ----------------
> > happy | regress | ln_pcy02 r_health male divorced widowed
> > ln_pcy02 | regress | [No missing data in estimation sample]
> > r_health | regress | [No missing data in estimation sample]
> > male | regress | [No missing data in estimation sample]
> > divorced | regress | [No missing data in estimation sample]
> > widowed | regress | [No missing data in estimation sample]
> >
> > Imputing
> > [Only 1 variable to be imputed, therefore no cycling needed.]
> > 1..file uricevar02.dta saved
> >
> > . sort city province hhid
> >
> > . compress
> >
> > . save uricevar02, replace
> > file uricevar02.dta saved.
> > end of do-file
> >
> > But when I check - here's what I get. Missing values still there.
> >
> > . count if happy==.
> > 65
> >
> > Does anybody have any ideas as to what might be going wrong?
>
> *
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>
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