st: Clustered, longitudinal data with ordinal outcome

[Wayne Sandholtz <wayne.sandholtz@uci.edu>]

I have panel data for about 140 countries, with yearly observations for 
each country.  The panels are unbalanced (more years for some countries 
than others), but for each country the years are continuous (no missing 
years in the middle).  The dependent variable is ordinal (1 - 5).

I am using GLLAMM to take into account the within-group dependence of 
observations.  My question is, does GLLAMM take into account the 
longitudinal nature of the within-group data?  Or do I need to include a 
time variable in the model in order for the estimation to take into 
account the time-ordered nature of the observations?

Or is there another model that I should consider?

Many thanks for any help,

Wayne Sandholtz
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