1 Apr
2008
1 Apr
'08
2:55 p.m.
Hello KyungSook,
The imputation process estimates p(p+3)/2 parameters, where p is the
number of variables in the imputation model (including polynomials of
time, lags, leads, etc). Typically, you would need at least this many
observations to estimate all of these parameters. Amelia allows you
to run the procedure below this amount, but the number of observations
must be at least twice the the number of variables included in the
model.
The best idea here is to remove variables from your dataset (either by
removing them from the data file or denoting them as IDvars in
AmeliaView). The best variables to remove are those that have little
predictive power for the missing values.
Hope that helps,
matt.
On Tue, Apr 1, 2008 at 12:23 PM, KyungSook Lee <leekyun3(a)msu.edu> wrote:
Hello,
I am writing this because I had some problem to run "Amilia II" with missing
data. I cannot get the output.
Message says, "Amelia Error Code: 34 The number of observations in
too low to estimate the number of parameters. You can either remove
some variables, reduce the order of the time polynomial, or increase
the empirical prior. You have received an error. You can close this
window and reset various options to correct the error."
What do I have to do? Do you have any suggestions?
It's very hard to figure it out. Thank you for your information!
KyungSook
******************************
KyungSook Lee
3010 Staten Ave. #12
Lansing, MI 48910
leekyun3(a)msu.edu
******************************
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