Hi everyone,
I've run a logit regression on my panel data. The sigma and LR test results are:
Wald chi2(17) = 19820.52
Prob > chi2 = 0.0000
.
.
/sigma2_u | 9.127715 .1932545 (std. err)
--------------------------------------------------------------------------------
LR test vs. ologit model: chibar2(01) = 17901.55 Prob >= chibar2 = 0.0000

Almost all the variables I've used are strongly significant. How can I interpret my model?! Is it sounds good ?!