LR test

[Ali Niazi]

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 ?!

[ericmelse]

Possibly this is helpful to evaluate the calibration of binary models, I refer you to the following paper from The State Journal, and this presentation from the 2018 Stata Conference.
You can install the calibration belt package from the Stata command window:

net install gr0071

There is an example data set and do file that you can get typing:

net get gr0071

Note to first change your working directory to an appropriate folder before downloading.

[Ali Niazi]

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 ?!

Excuse me, the ordered logit model