I'm interested in using quantile regression in a study of income and wage
effects, and I've used Amelia to simulate 5 datasets (I should note that
I have high-missingness). Does quantile regression meet the assumptions
of Amelia's multiple imputation algorithm?
A second question regards intepretation. Can I combine the results from
my estimates of parameters and variances in the same fashion for estimates
within the quantiles as I can OLS regression and the others?
I am attempting to use the Gauss version of Amelia to impute missing values for
a dataset with approximately 3,000 observations and 27 variables. When the
program reaches step 4 (Imputing Data Sets), it stops and notes:
C:\GAUSS36\src\amelia\amutil.src(390) : error G0058 : Index out of range
Currently active call: rndb [390]
I assumed that this was a problem with the data file's properties, but I have
tried several different file types and been unable to correct this error. Many
thanks for any suggestions or pointers anyone can provide.
Best,
Dan Hopkins