For my dissertation I've estimated nine seperate EI model specifications
for 9 seperate U.S. states, with most of the models employing a variety of
covariates.
All of the models' ML functions converged normally, except for two of the
states. In the first state 3 of the 9 converged, and in the second 5 of
the nine. One of my advisors has instructed me to explain why in these
two states the models failed to converge. The failure to converge does
not seem to be dependent on the numbers of covariates. Obviously the
models without covariates converged, as did the models with the most
numbers of covariates. In one of the states none of the models with the
covariates which were dichotomized converged, and in the other state
convergence was not dependent on how the covariates were coded.
Also, since there was no convergence, I don't have any output to evaluate.
What do you suggest?
Greg
Gregory A. Pettis
Political Science
Elon University
CB # 2203
Elon, N.C. 27244
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