Hello all,
I’m working with the xtologit model after quite a while and seem to have forgotten many of the modeling aspects. I ran a xtologit model and received a sigma_u value of higher than 8 and a rho somewhere around 89%. In general, does this mean that most of the variation in my data comes from between group variation? The LR test with a P >=chibar2 = 0.000 indicates that my panel model is better than the regular ologit model. Is this determined by the higher value of sigma_u meaning that there is enough variability between groups to use the xtologit model?
My second question is, what is the measure of goodness of fit for xtologit models and how do I compare goodness of fit between two xtologit models?
Finally, how does goodness of model fit impact the probability estimates in the panel ordered logit model?
Many many thanks.
SAM
Related Posts with Goodness of fit measure for xtologit
First Stage Regression - Huge F-statisticHello all, I use a stacked first differences model to estimate the impact of globalization on unemp…
issues with global macro windows code on macI am trying to use a Master do file that someone has sent me from their windows computer. I have a M…
Error: cannot compute an improvement -- discontinuous region encounteredGood night, I am trying to perform a probit ordered model with panel data and the following error a…
Combining categoriesI would like to combine two categories for one of my variables but I am not sure whether there is a …
Including breakpoint dates in SVAR commandDear Stata users, I would like to know how to specify the code for a SVAR model in a such way that …
Subscribe to:
Post Comments (Atom)
0 Response to Goodness of fit measure for xtologit
Post a Comment