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st: mi chained (logit) error
From
"Jacqueline Jodl" <[email protected]>
To
<[email protected]>
Subject
st: mi chained (logit) error
Date
Sat, 10 Aug 2013 13:04:20 -0400
Dear Statalist,
I am attempting mi chained (logit) for a series of variables indicating
whether or not grandmothers and grandfathers live in the household.
The measures are dichotomous with 1 for yes and 0 for no. I am receiving an
error message that the outcomes do not vary (see below).
I have recoded my soft missing or invalid skips (-1s, -2s, -3s) =. But I
have left my valid skips (-7s). I believe it is the -7s that are the
problem.
Can I have a dichotomous variable in mi chained (logit) with values other
than just 0 and 1? Is the -7 the issue?
Thanks,
Jackie Jodl
Teachers College Columbia University
Summary of output:
recode * (-1 -2 -3 = .)
. codebook grandmaHH_1988
----------------------------------------------------------------------------
-----------------------
grandmaHH_1988
1988 grandmaHH_
----------------------------------------------------------------------------
-----------------------
type: numeric (float)
range: [-7,1] units: 1
unique values: 3 missing .: 15/4188
tabulation: Freq. Value
178 -7
3577 0
418 1
15 .
. mi impute chained (logit) grandmaHH_1988 grandmaHH_1990 grandmaHH_1992
grandmaHH_1994 grandmaHH_1
> 996 grandmaHH_1998 grandmaHH_2000 ///
> grandmaHH_2002 grandmaHH_2004 grandmaHH_2006 grandmaHH_2008 grandmaHH_2010
///
> grandpaHH_1988 grandpaHH_1990 grandpaHH_1992 grandpaHH_1994 grandpaHH_1996
grandpaHH_1998 grandpa
> HH_2000 ///
> grandpaHH_2002 grandpaHH_2004 grandpaHH_2006 grandpaHH_2008 grandpaHH_2010
///
> = highgrade highgrademom race male mombirthage birthorder, add(5)
outcome does not vary; remember:
0 = negative outcome,
all other nonmissing values = positive outcome
-- above applies to specification (logit ) grandpaHH_2006 = highgrade
highgrademom race male
mombirthage birthorder
outcome does not vary; remember:
0 = negative outcome,
all other nonmissing values = positive outcome
-- above applies to specification (logit ) grandmaHH_2008 = highgrade
highgrademom race male
mombirthage birthorder
outcome does not vary; remember:
0 = negative outcome,
all other nonmissing values = positive outcome
-- above applies to specification (logit ) grandpaHH_2008 = highgrade
highgrademom race male
mombirthage birthorder
outcome does not vary; remember:
0 = negative outcome,
all other nonmissing values = positive outcome
-- above applies to specification (logit ) grandpaHH_1990 = highgrade
highgrademom race male
mombirthage birthorder
outcome does not vary; remember:
0 = negative outcome,
all other nonmissing values = positive outcome
-- above applies to specification (logit ) grandmaHH_2000 = highgrade
highgrademom race male
mombirthage birthorder
outcome does not vary; remember:
0 = negative outcome,
all other nonmissing values = positive outcome
-- above applies to specification (logit ) grandpaHH_2000 = highgrade
highgrademom race male
mombirthage birthorder
outcome does not vary; remember:
0 = negative outcome,
all other nonmissing values = positive outcome
-- above applies to specification (logit ) grandmaHH_1990 = highgrade
highgrademom race male
mombirthage birthorder
outcome does not vary; remember:
0 = negative outcome,
all other nonmissing values = positive outcome
-- above applies to specification (logit ) grandmaHH_2004 = highgrade
highgrademom race male
mombirthage birthorder
outcome does not vary; remember:
0 = negative outcome,
all other nonmissing values = positive outcome
-- above applies to specification (logit ) grandpaHH_2004 = highgrade
highgrademom race male
mombirthage birthorder
outcome does not vary; remember:
0 = negative outcome,
all other nonmissing values = positive outcome
-- above applies to specification (logit ) grandmaHH_1988 = highgrade
highgrademom race male
mombirthage birthorder
outcome does not vary; remember:
0 = negative outcome,
all other nonmissing values = positive outcome
-- above applies to specification (logit ) grandpaHH_1988 = highgrade
highgrademom race male
mombirthage birthorder
r(2000);
end of do-file
r(2000);
.
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