st: Interpreting dots in regression tables

["Vimalanand S. Prabhu" <prabhu@unc.edu>]

Dear All,

Here is a sample of the output that I got for a random effects probit 
model. Some other specifications yield good results. I wanted to know 
the interpretation when coefficient value is printed, but values for 
standard errors, Z and p are all printed as ".". For better output, 
refer the attached txt file.

Thanks,

Prabhu


STATA Output:
++++++++++++++++++++++++++++++++++++++++++++++++

Fitting comparison model:

Iteration 0:   log likelihood = -1127.9569
:
:
Iteration 4:   log likelihood =  -989.4746

Fitting full model:

rho =  0.0     log likelihood =  -989.4746
:
rho =  0.8     log likelihood = -500.78809
Iteration 0:   log likelihood = -532.11552
:
Iteration 8:   log likelihood = -438.43288

Random-effects probit regression	Number of obs      =      1797
Group variable (i): srno	Number of groups   =       388

Random effects u_i ~ Gaussian	Obs per group: min =         3
	avg =       4.6
	max =        10

	Wald chi2(7)       =         .
Log likelihood  = -438.43288	Prob > chi2        =         .


	
yesno_h       Coef.   Std. Err.      z	P>z     [95% Conf. Interval]
	
price   -.0139144   .0013292   -10.47	0.000    -.0165195   -.0113093
eff     .557588          .        .	.            .           .
prim_h   -.7117068       .        .	.            .           .
sec_h    .3701428        .        .	.            .           .
hisec_h    .3932863      .        .	.            .           .
ageh     .125057         .        .	.            .           .
agehsq   -.0027808  .0001407   -19.76	0.000    -.0030566   -.0025051
spouseh   -.0170838 .2274981    -0.08	0.940    -.4629719    .4288044
son       .334153   .2197415     1.52	0.128    -.0965324    .7648385
daughter  .1851827    .232607     0.80	0.426    -.2707187     .641084
dowry     .6840383       .        .	.            .           .
placre1_h .0012098    .001105     1.09	0.274    -.0009559    .0033755
somerisk_h .7461116       .        .	.            .           .
largrisk_h   -1.406053   .5931395    -2.37	0.018    -2.568585   -.2435213
_cons   -1.557819          .        .	.            .           .
	
/lnsig2u    2.723256   .1212345	2.485641    2.960871
	
sigma_u    3.902541   .2365612	3.465373    4.394859
rho     .938385   .0070096	.923129    .9507748
	
Likelihood-ratio test of rho=0: chibar2(01) =	1102.08 Prob >= chibar2 = 
0.000

.

Attachment: how2interpret.doc
Description: MS-Word document