Dear all,
I can't find en error in my computation of a gllamm-model. The same
model provided useful estimation of coefficients and variances for
other dependent variables of my dataset. I don't understand why the
same model does not function with another dependent variable.
lnf38_4 is my depvar, I control for modus (modus==1), intnr is 2-level
and point 3rd-level.
hier my output:
. gllamm lnf38_4 if modus==1, i(intnr point) adapt
(error occurred in ML computation)
(use trace option and check correctness of initial model)
. gllamm lnf38_4 if modus==1, i(intnr point) adapt trace
General model information
-----------------------------------------------------------------------------
dependent variable: lnf38_4
family: gauss
link: ident
equation for fixed effects _cons
Random effects information for 3 level model
-----------------------------------------------------------------------------
***level 1 equation:
log standard deviation
lns1: _cons
***level 2 (intnr) equation(s):
standard deviation of random effect
intn: _cons
***level 3 (point) equation(s):
standard deviation of random effect
poin: _cons
number of level 1 units = 2137
number of level 2 units = 416
number of level 3 units = 160
Initial values for fixed effects
Source | SS df MS Number of obs =
2137
-------------+------------------------------ F( 0, 2136) =
0.00
Model | 0 0 . Prob > F =
.
Residual | 4384.96984 2136 2.0528885 R-squared =
0.0000
-------------+------------------------------ Adj R-squared =
0.0000
Total | 4384.96984 2136 2.0528885 Root MSE =
1.4328
------------------------------------------------------------------------------
__00000C | Coef. Std. Err. t P>|t| [95% Conf.
Interval]
-------------+----------------------------------------------------------------
_cons | 1.626379 .0309942 52.47 0.000 1.565597
1.687161
------------------------------------------------------------------------------
start running on 8 Sep 2006 at 15:05:07
Non-adaptive log-likelihood: -3638.4494
First iteration of adaptive quadrature:
Updating posterior means and variances
log-likelihood:
-3638.4556 -3638.4556
------------------------------------------------------------------------------
Iteration 0:
Coefficient vector:
lnf38_4: lns1: intn: poin:
_cons _cons _cons _cons
r1 1.626379 .3596239 .5 .5
overflow at level 1 ( 1 missing values)
Hessian has become unstable or asymmetric (D)
(error occurred in ML computation)
(use trace option and check correctness of initial model)
finish running on 8 Sep 2006 at 15:06:53
I would be thankful for any advice.
Inna Khousnoullina
.
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