Hi everyone

I have recently started to use Stata, and confused about how I should interpret the results I have in examining the factors that influence use of private versus public health care. Please assist.


Random-effects logistic regression Number of obs = 8,033
Group variable: pid Number of groups = 5,593
Random effects u_i ~ Gaussian Obs per group:
min = 1
avg = 1.4
max = 4
Integration method: mvaghermite Integration pts. = 12
Wald chi2(9) = 775.75
Log likelihood = -3806.026 Prob > chi2 = 0.0000
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health carew | OR Std. Err. z P>|z| [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
Employed |
Unemployed | .2987269 .0211104 -17.10 0.000 .2600888 .3431049


communicable |
Non-communicable | .399234 .0426754 -8.59 0.000 .3237724 .4922835


African |
Coloured | .5134034 .0624029 -5.49 0.000 .4045734 .6515086
Asian/Indian | 1.652477 .4927756 1.68 0.092 .9210933 2.964608
White | 22.84537 4.908871 14.56 0.000 14.9933 34.80961


Married |
Living with Partner | .3180426 .054397 -6.70 0.000 .2274565 .4447052
Widow/Widower | .5167898 .052537 -6.49 0.000 .423429 .6307355
Divorced or Separated | .388571 .0889345 -4.13 0.000 .2481138 .608541
Never married | .3107787 .0315136 -11.53 0.000 .2547637 .3791096
-----------------------+----------------------------------------------------------------
/lnsig2u | .8547385 .1373949 .5854494 1.124027
-----------------------+----------------------------------------------------------------
sigma_u | 1.533219 .1053282 1.340074 1.754201
rho | .416755 .0333966 .3531097 .4833012
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LR test of rho=0: chibar2(01) = 158.75 Prob >= chibar2 = 0.000